Search Machine Learning Repository:
All publications in 2008
authors venues years

Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Jun Zhu, Zaiqing Nie, Bo Zhang and Ji-rong Wen
Journal of Machine Learning Research, 2008

Causal Reasoning with Ancestral Graphs
Jiji Zhang
Journal of Machine Learning Research, 2008

Learning Control Knowledge for Forward Search Planning
Sung W. Yoon, Alan Fern and Robert Givan
Journal of Machine Learning Research, 2008

Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji and Jianhui Chen
Journal of Machine Learning Research, 2008

Comments on the Complete Characterization of a Family of Solutions to a Generalized {\it Fisher} Criterion
Jieping Ye
Journal of Machine Learning Research, 2008

A Recursive Method for Structural Learning of Directed Acyclic Graphs
Xianchao Xie and Zhi Geng
Journal of Machine Learning Research, 2008

Regularization on Graphs with Function-adapted Diffusion Processes
Arthur D. Szlam, Mauro Maggioni and Ronald R. Coifman
Journal of Machine Learning Research, 2008

Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
Ashwin Srinivasan and Ross D. King
Journal of Machine Learning Research, 2008

Complete Identification Methods for the Causal Hierarchy
Ilya Shpitser and Judea Pearl
Journal of Machine Learning Research, 2008

A Tutorial on Conformal Prediction
Journal of Machine Learning Research, 2008

Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
Matthias W. Seeger
Journal of Machine Learning Research, 2008

Bayesian Inference and Optimal Design for the Sparse Linear Model
Matthias W. Seeger
Journal of Machine Learning Research, 2008

Ranking Categorical Features Using Generalization Properties
Sivan Sabato and Shai Shalev-shwartz
Journal of Machine Learning Research, 2008

Linear-Time Computation of Similarity Measures for Sequential Data
Journal of Machine Learning Research, 2008

Using Markov Blankets for Causal Structure Learning
Jean-philippe Pellet and André Elisseeff
Journal of Machine Learning Research, 2008

Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
Liviu Panait, Karl Tuyls and Sean Luke
Journal of Machine Learning Research, 2008

Finite-Time Bounds for Fitted Value Iteration
Rémi Munos and Csaba Szepesvári
Journal of Machine Learning Research, 2008

Evidence Contrary to the Statistical View of Boosting
David Mease and Abraham J. Wyner
Journal of Machine Learning Research, 2008

Learning Similarity with Operator-valued Large-margin Classifiers
Andreas Maurer
Journal of Machine Learning Research, 2008

Hit Miss Networks with Applications to Instance Selection
Elena Marchiori
Journal of Machine Learning Research, 2008

Maximal Causes for Non-linear Component Extraction
Jörg Lücke and Maneesh Sahani
Journal of Machine Learning Research, 2008

Aggregation of SVM Classifiers Using Sobolev Spaces
Sébastien Loustau
Journal of Machine Learning Research, 2008

Trust Region Newton Method for Logistic Regression
Chih-jen Lin, Ruby C. Weng and S. S. Keerthi
Journal of Machine Learning Research, 2008

Support Vector Machinery for Infinite Ensemble Learning
Hsuan-tien Lin and Ling Li
Journal of Machine Learning Research, 2008

Generalization from Observed to Unobserved Features by Clustering
Eyal Krupka and Naftali Tishby
Journal of Machine Learning Research, 2008

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit P. Singh and Carlos Guestrin
Journal of Machine Learning Research, 2008

A Bahadur Representation of the Linear Support Vector Machine
Ja-yong Koo, Yoonkyung Lee, Yuwon Kim and Changyi Park
Journal of Machine Learning Research, 2008

A Library for Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal
Journal of Machine Learning Research, 2008

A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
Zach Jorgensen, Yan Zhou and W. M. Inge
Journal of Machine Learning Research, 2008

Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Bo Jiang, Xuegong Zhang and Tianxi Cai
Journal of Machine Learning Research, 2008

Shark
Christian Igel, Verena Heidrich-meisner and Tobias Glasmachers
Journal of Machine Learning Research, 2008

Laplace maximum margin Markov networks
Jun Zhu, Eric P. Xing and Bo Zhang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Efficient multiclass maximum margin clustering
Bin Zhao, Fei Wang and Chang-shui Zhang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Improved Nystr{\&}ouml;m low-rank approximation and error analysis
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Estimating local optimums in EM algorithm over Gaussian mixture model
Zhenjie Zhang, Bing T. Dai and Anthony Tung
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Predicting diverse subsets using structural SVMs
Yisong Yue and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A quasi-Newton approach to non-smooth convex optimization
Jin Yu, Simon Günter, Nicol N. Schraudolph and S.v.n. Vishwanathan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Preconditioned temporal difference learning
Hengshuai Yao and Zhi-qiang Liu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Democratic approximation of lexicographic preference models
Fusun Yaman, Thomas J. Walsh, Michael L. Littman and Marie Desjardins
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Listwise approach to learning to rank: theory and algorithm
Fen Xia, Tie-yan Liu, Jue Wang, Wensheng Zhang and Hang Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fully distributed EM for very large datasets
Jason Wolfe, Aria Haghighi and Dan Klein
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Efficiently learning linear-linear exponential family predictive representations of state
David Wingate and Satinder P. Singh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Deep learning via semi-supervised embedding
Jason Weston, Frédéric Ratle and Ronan Collobert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast solvers and efficient implementations for distance metric learning
Kilian Q. Weinberger and Lawrence K. Saul
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On multi-view active learning and the combination with semi-supervised learning
Wei Wang and Zhi-hua Zhou
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Adaptive p-posterior mixture-model kernels for multiple instance learning
Hua-yan Wang, Qiang Yang and Hongbin Zha
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Dirichlet component analysis: feature extraction for compositional data
Hua-yan Wang, Qiang Yang, Hong Qin and Hongbin Zha
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Manifold alignment using Procrustes analysis
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Graph transduction via alternating minimization
Jun Wang, Tony Jebara and Shih-fu Chang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Sparse multiscale gaussian process regression
Christian Walder, Kwang I. Kim and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Prediction with expert advice for the Brier game
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-antoine Manzagol
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Topologically-constrained latent variable models
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell and Neil D. Lawrence
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A semiparametric statistical approach to model-free policy evaluation
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda and Shin Ishii
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Training restricted Boltzmann machines using approximations to the likelihood gradient
Tijmen Tieleman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

{\it nu}-support vector machine as conditional value-at-risk minimization
Akiko Takeda and Masashi Sugiyama
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The many faces of optimism: a unifying approach
Istvan Szita and András Lörincz
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Composite kernel learning
Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Apprenticeship learning using linear programming
Umar Syed, Michael H. Bowling and Robert E. Schapire
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A least squares formulation for canonical correlation analysis
Liang Sun, Shuiwang Ji and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Discriminative parameter learning for Bayesian networks
Jiang Su, Harry Zhang, Charles X. Ling and Stan Matwin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Metric embedding for kernel classification rules
Bharath K. Sriperumbudur, Omer A. Lang and Gert R. Lanckriet
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Detecting statistical interactions with additive groves of trees
Daria Sorokina, Rich Caruana, Mirek Riedewald and Daniel Fink
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The asymptotics of semi-supervised learning in discriminative probabilistic models
Nataliya Sokolovska, Olivier Cappé and Françcois Yvon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An RKHS for multi-view learning and manifold co-regularization
Vikas Sindhwani and David S. Rosenberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Sample-based learning and search with permanent and transient memories
David Silver, Richard S. Sutton and Martin Müller
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Expectation-maximization for sparse and non-negative PCA
Christian D. Sigg and Joachim M. Buhmann
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

{\it mStruct}: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations
Suyash Shringarpure and Eric P. Xing
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A generalization of Haussler's convolution kernel: mapping kernel
Kilho Shin and Tetsuji Kuboyama
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Data spectroscopy: learning mixture models using eigenspaces of convolution operators
Tao Shi, Mikhail Belkin and Bin Yu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

SVM optimization: inverse dependence on training set size
Shai Shalev-shwartz and Nathan Srebro
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Multi-classification by categorical features via clustering
Yevgeny Seldin and Naftali Tishby
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Compressed sensing and Bayesian experimental design
Hannes Nickisch and Matthias Seeger
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Inverting the Viterbi algorithm: an abstract framework for structure design
Michael Schnall-levin, Leonid Chindelevitch and Bonnie Berger
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast incremental proximity search in large graphs
Purnamrita Sarkar, Andrew W. Moore and Amit Prakash
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Accurate max-margin training for structured output spaces
Sunita Sarawagi and Rahul Gupta
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Ruslan Salakhutdinov and Andriy Mnih
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On the quantitative analysis of deep belief networks
Ruslan Salakhutdinov and Iain Murray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Privacy-preserving reinforcement learning
Jun Sakuma, Shigenobu Kobayashi and Rebecca N. Wright
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Robust matching and recognition using context-dependent kernels
Hichem Sahbi, Jean-yves Audibert, Jaonary Rabarisoa and Renaud Keriven
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms
Volker Roth and Bernd Fischer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Bi-level path following for cross validated solution of kernel quantile regression
Saharon Rosset
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Closed-form supervised dimensionality reduction with generalized linear models
Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira and Geoffrey J. Gordon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The dynamic hierarchical Dirichlet process
Lu Ren, David B. Dunson and Lawrence Carin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Online kernel selection for Bayesian reinforcement learning
Joseph Reisinger, Peter Stone and Risto Miikkulainen
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar and R. B. Rao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes
Pradeep D. Ravikumar, Alekh Agarwal and Martin J. Wainwright
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Semi-supervised learning of compact document representations with deep networks
Marc'aurelio Ranzato and Martin Szummer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning diverse rankings with multi-armed bandits
Filip Radlinski, Thorsten Joachims and Robert D. Kleinberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Estimating labels from label proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano and Quoc V. Le
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Multi-task compressive sensing with Dirichlet process priors
Yuting Qi, Dehong Liu, David B. Dunson and Lawrence Carin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning to learn implicit queries from gaze patterns
Kai Puolamäki, Antti Ajanki and Samuel Kaski
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-wakefield and Michael L. Littman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On the chance accuracies of large collections of classifiers
Mark Palatucci and Andrew Carlson
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A distance model for rhythms
Jean-françcois Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning dissimilarities by ranking: from SDP to QP
Hua Ouyang and Alexander G. Gray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The projectron: a bounded kernel-based Perceptron
Francesco Orabona, Joseph Keshet and Barbara Caputo
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Cost-sensitive multi-class classification from probability estimates
Deirdre B. O'brien, Robert M. Gray and Maya Gupta
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A decoupled approach to exemplar-based unsupervised learning
Sebastian Nowozin and Gökhan H. Bakir
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Bayes optimal classification for decision trees
Siegfried Nijssen
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On the hardness of finding symmetries in Markov decision processes
Shravan M. Narayanamurthy and Balaraman Ravindran
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Empirical Bernstein stopping
Volodymyr Mnih, Csaba Szepesvári and Jean-yves Audibert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An analysis of reinforcement learning with function approximation
Francisco S. Melo, Sean P. Meyn and M. I. Ribeiro
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Rank minimization via online learning
Raghu Meka, Prateek Jain, Constantine Caramanis and Inderjit S. Dhillon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Automatic discovery and transfer of MAXQ hierarchies
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Nonextensive entropic kernels
André Martins, Mário Figueiredo, Pedro Aguiar, Noah A. Smith and Eric P. Xing
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On-line discovery of temporal-difference networks
Takaki Makino and Toshihisa Takagi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Uncorrelated multilinear principal component analysis through successive variance maximization
Haiping Lu, Konstantinos N. Plataniotis and Anastasios N. Venetsanopoulos
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A reproducing kernel Hilbert space framework for pairwise time series distances
Zhengdong Lu, Todd K. Leen, Yonghong Huang and Deniz Erdogmus
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Random classification noise defeats all convex potential boosters
Philip M. Long and Rocco Servedio
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
Nicolas Loeff, David A. Forsyth and Deepak Ramachandran
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Percy Liang and Michael I. Jordan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Structure compilation: trading structure for features
Percy Liang, Dan Klein and Hal Daume
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Knows what it knows: a framework for self-aware learning
Lihong Li, Michael L. Littman and Thomas J. Walsh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Pairwise constraint propagation by semidefinite programming for semi-supervised classification
Zhenguo Li, Jianzhuang Liu and Xiaoou Tang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A worst-case comparison between temporal difference and residual gradient with linear function approximation
Lihong Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Local likelihood modeling of temporal text streams
Guy Lebanon and Yang Zhao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Transfer of samples in batch reinforcement learning
Alessandro Lazaric, Marcello Restelli and Andrea Bonarini
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Classification using discriminative restricted Boltzmann machines
Hugo Larochelle and Yoshua Bengio
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Exploration scavenging
John Langford, Alexander L. Strehl and Jennifer Wortman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Modeling interleaved hidden processes
Niels Landwehr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Query-level stability and generalization in learning to rank
Yanyan Lan, Tie-yan Liu, Tao Qin, Zhiming Ma and Hang Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast estimation of first-order clause coverage through randomization and maximum likelihood
Ondrej Kuzelka and Filip Zelezn\'y
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Efficiently solving convex relaxations for MAP estimation
M. P. Kumar and Philip Torr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

The skew spectrum of graphs
Risi Kondor and Karsten M. Borgwardt
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Space-indexed dynamic programming: learning to follow trajectories
J. Z. Kolter, Adam Coates, Andrew Y. Ng, Yi Gu and Charles Duhadway
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

On partial optimality in multi-label MRFs
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov and Philip Torr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Unsupervised rank aggregation with distance-based models
Alexandre Klementiev, Dan Roth and Kevin Small
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

ICA and ISA using Schweizer-Wolff measure of dependence
Sergey Kirshner and Barnabás Póczos
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Non-parametric policy gradients: a unified treatment of propositional and relational domains
Kristian Kersting and Kurt Driessens
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Large scale manifold transduction
Michael Karlen, Jason Weston, Ayse Erkan and Ronan Collobert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Efficient bandit algorithms for online multiclass prediction
Sham M. Kakade, Shai Shalev-shwartz and Ambuj Tewari
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Aapo Hyvärinen, Shohei Shimizu and Patrik O. Hoyer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Discriminative structure and parameter learning for Markov logic networks
Tuyen N. Huynh and Raymond J. Mooney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A dual coordinate descent method for large-scale linear SVM
Cho-jui Hsieh, Kai-wei Chang, Chih-jen Lin, S. S. Keerthi and S. Sundararajan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Active kernel learning
Rong Jin and Steven C. Hoi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Statistical models for partial membership
Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Modified MMI/MPE: a direct evaluation of the margin in speech recognition
Georg Heigold, Thomas Deselaers, Ralf Schlüter and Hermann Ney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Grassmann discriminant analysis: a unifying view on subspace-based learning
Jihun Ham and Daniel D. Lee
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Boosting with incomplete information
Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori and Feng Jiao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

No-regret learning in convex games
Geoffrey J. Gordon, Amy Greenwald and Casey Marks
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Localized multiple kernel learning
Mehmet Gönen and Ethem Alpaydin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Memory bounded inference in topic models
Max Welling, Pietro Perona and Ryan G. Gomes
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Beam sampling for the infinite hidden Markov model
Jurgen V. Gael, Yunus Saatci, Yee W. Teh and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Reinforcement learning in the presence of rare events
Jordan Frank, Shie Mannor and Doina Precup
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Optimized cutting plane algorithm for support vector machines
Vojtech Franc and Sören Sonnenburg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Stopping conditions for exact computation of leave-one-out error in support vector machines
Vojtech Franc, Pavel Laskov and Klaus-robert Müller
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An HDP-HMM for systems with state persistence
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan and Alan S. Willsky
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Training structural SVMs when exact inference is intractable
Thomas Finley and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Active reinforcement learning
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Polyhedral classifier for target detection: a case study: colorectal cancer
Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff and Vikas C. Raykar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Pointwise exact bootstrap distributions of cost curves
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions
John C. Duchi, Shai Shalev-shwartz, Yoram Singer and Tushar Chandra
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Confidence-weighted linear classification
Mark Dredze, Koby Crammer and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Finale Doshi, Joelle Pineau and Nicholas Roy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Optimizing estimated loss reduction for active sampling in rank learning
Pinar Donmez and Jaime G. Carbonell
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An object-oriented representation for efficient reinforcement learning
Carlos Diuk, Andre Cohen and Michael L. Littman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning from incomplete data with infinite imputations
Uwe Dick, Peter Haider and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Maximum likelihood rule ensembles
Wojciech Kotlowski, Roman Slowinski and Krzysztof J. Dembczynski
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning to classify with missing and corrupted features
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Hierarchical sampling for active learning
Sanjoy Dasgupta and Daniel J. Hsu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Self-taught clustering
Wenyuan Dai, Qiang Yang, Gui-rong Xue and Yong Yu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast Gaussian process methods for point process intensity estimation
John P. Cunningham, Krishna V. Shenoy and Maneesh Sahani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A rate-distortion one-class model and its applications to clustering
Koby Crammer, Partha P. Talukdar and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Stability of transductive regression algorithms
Corinna Cortes, Mehryar Mohri, Dmitry Pechyony and Ashish Rastogi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Autonomous geometric precision error estimation in low-level computer vision tasks
Andrés Corrada-emmanuel and Howard J. Schultz
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

A unified architecture for natural language processing: deep neural networks with multitask learning
Ronan Collobert and Jason Weston
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Tom Coleman, James Saunderson and Anthony Wirth
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning for control from multiple demonstrations
Adam Coates, Pieter Abbeel and Andrew Y. Ng
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Training SVM with indefinite kernels
Jianhui Chen and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning to sportscast: a test of grounded language acquisition
David L. Chen and Raymond J. Mooney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Nearest hyperdisk methods for high-dimensional classification
Hakan Cevikalp, Bill Triggs and Robi Polikar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast nearest neighbor retrieval for bregman divergences
Lawrence Cayton
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Fast support vector machine training and classification on graphics processors
Bryan C. Catanzaro, Narayanan Sundaram and Kurt Keutzer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

An empirical evaluation of supervised learning in high dimensions
Rich Caruana, Nikolaos Karampatziakis and Ainur Yessenalina
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Sparse Bayesian nonparametric regression
Francois Caron and Arnaud Doucet
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Actively learning level-sets of composite functions
Brent Bryan and Jeff G. Schneider
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Strategy evaluation in extensive games with importance sampling
Michael H. Bowling, Michael Johanson, Neil Burch and Duane Szafron
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Nonnegative matrix factorization via rank-one downdate
Michael Biggs, Ali Ghodsi and Stephen A. Vavasis
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Multi-task learning for HIV therapy screening
Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Multiple instance ranking
Charles Bergeron, Jed Zaretzki, Curt M. Breneman and Kristin P. Bennett
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Learning all optimal policies with multiple criteria
Leon Barrett and Srini Narayanan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Bolasso: model consistent Lasso estimation through the bootstrap
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Graph kernels between point clouds
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Hierarchical kernel stick-breaking process for multi-task image analysis
Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin and David B. Dunson
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Sequence kernels for predicting protein essentiality
Cyril Allauzen, Mehryar Mohri and Ameet Talwalkar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Gaussian process product models for nonparametric nonstationarity
Ryan P. Adams and Oliver Stegle
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

Active Learning by Spherical Subdivision
Falk-florian Henrich and Klaus Obermayer
Journal of Machine Learning Research, 2008

Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino J. Gomez, Jürgen Schmidhuber and Risto Miikkulainen
Journal of Machine Learning Research, 2008

Manifold Learning: The Price of Normalization
Yair Goldberg, Alon Zakai, Dan Kushnir and Yaacov Ritov
Journal of Machine Learning Research, 2008

Closed Sets for Labeled Data
Gemma C. Garriga, Petra Kralj and Nada Lavrac
Journal of Machine Learning Research, 2008

Discriminative Learning of Max-Sum Classifiers
Vojtech Franc and Bogdan Savchynskyy
Journal of Machine Learning Research, 2008

LIBLINEAR: A Library for Large Linear Classification
Rong-en Fan, Kai-wei Chang, Cho-jui Hsieh, Xiang-rui Wang and Chih-jen Lin
Journal of Machine Learning Research, 2008

Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
Mathias Drton and Thomas S. Richardson
Journal of Machine Learning Research, 2008

Optimal Solutions for Sparse Principal Component Analysis
Alexandre D'aspremont, Laurent E. Ghaoui and Francis R. Bach
Journal of Machine Learning Research, 2008

A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
Arnak S. Dalalyan, Anatoli Juditsky and Vladimir Spokoiny
Journal of Machine Learning Research, 2008

Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs C. Csáji and László Monostori
Journal of Machine Learning Research, 2008

Learning from Multiple Sources
Koby Crammer, Michael Kearns and Jennifer Wortman
Journal of Machine Learning Research, 2008

Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
Giorgio Corani and Marco Zaffalon
Journal of Machine Learning Research, 2008

Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras and Peter L. Bartlett
Journal of Machine Learning Research, 2008

An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux and Johan V. Kerckhoven
Journal of Machine Learning Research, 2008

Search for Additive Nonlinear Time Series Causal Models
Tianjiao Chu and Clark Glymour
Journal of Machine Learning Research, 2008

Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann and Arnout V. Messem
Journal of Machine Learning Research, 2008

Learning to Combine Motor Primitives Via Greedy Additive Regression
Manu Chhabra and Robert A. Jacobs
Journal of Machine Learning Research, 2008

Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns
Shann-ching Chen, Geoffrey J. Gordon and Robert F. Murphy
Journal of Machine Learning Research, 2008

Max-margin Classification of Data with Absent Features
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller
Journal of Machine Learning Research, 2008

Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Journal of Machine Learning Research, 2008

Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Kai-wei Chang, Cho-jui Hsieh and Chih-jen Lin
Journal of Machine Learning Research, 2008

Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil and Yiming Ying
Journal of Machine Learning Research, 2008

On the Suitable Domain for SVM Training in Image Coding
Gustavo Camps-valls, Juan Gutierrez, Gabriel Gómez-pérez and Jesus Malo
Journal of Machine Learning Research, 2008

On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann and Klaus-robert Müller
Journal of Machine Learning Research, 2008

Consistency of Random Forests and Other Averaging Classifiers
Gérard Biau, Luc Devroye and Gábor Lugosi
Journal of Machine Learning Research, 2008

Learning Balls of Strings from Edit Corrections
Leonor Becerra-bonache, Colin Higuera, Jean-christophe Janodet and Frédéric Tantini
Journal of Machine Learning Research, 2008

Nearly Uniform Validation Improves Compression-Based Error Bounds
Eric Bax
Journal of Machine Learning Research, 2008

An Error Bound Based on a Worst Likely Assignment
Eric Bax and Augusto Callejas
Journal of Machine Learning Research, 2008

Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett and Marten H. Wegkamp
Journal of Machine Learning Research, 2008

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent E. Ghaoui and Alexandre D'aspremont
Journal of Machine Learning Research, 2008

Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Journal of Machine Learning Research, 2008

Consistency of the Group Lasso and Multiple Kernel Learning
Francis R. Bach
Journal of Machine Learning Research, 2008

Consistency of Trace Norm Minimization
Francis R. Bach
Journal of Machine Learning Research, 2008

Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2008

Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Journal of Machine Learning Research, 2008

Online Prediction on Large Diameter Graphs
Mark Herbster, Guy Lever and Massimiliano Pontil
Advances in Neural Information Processing Systems 21, 2008

Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
Erik B. Sudderth and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008

An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
Dilan Gorur and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008

Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small, Stephen Strother and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008

Resolution Limits of Sparse Coding in High Dimensions
Sundeep Rangan, Vivek Goyal and Alyson K. Fletcher
Advances in Neural Information Processing Systems 21, 2008

QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008

Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008

Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008

Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet and Ole Winther
Advances in Neural Information Processing Systems 21, 2008

Skill Characterization Based on Betweenness
Ozgur Simsek and Andre S. Barreto
Advances in Neural Information Processing Systems 21, 2008

DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-julien, Fei Sha and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008

Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 21, 2008

One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church and Trevor J. Hastie
Advances in Neural Information Processing Systems 21, 2008

Sparse probabilistic projections
Cédric Archambeau and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008

Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani, Jianying Hu and Aleksandra Mojsilovic
Advances in Neural Information Processing Systems 21, 2008

Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde and Richard Baraniuk
Advances in Neural Information Processing Systems 21, 2008

An improved estimator of Variance Explained in the presence of noise
Ralf M. Haefner and Bruce G. Cumming
Advances in Neural Information Processing Systems 21, 2008

Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu and Alan L. Yuille
Advances in Neural Information Processing Systems 21, 2008

Bounding Performance Loss in Approximate MDP Homomorphisms
Jonathan Taylor, Doina Precup and Prakash Panagaden
Advances in Neural Information Processing Systems 21, 2008

Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta, Thomas Nowotny, Nikolai Rulkov, Henry Abarbanel, Allen Selverston and Mikhail Rabinovich
Advances in Neural Information Processing Systems 21, 2008

Privacy-preserving logistic regression
Kamalika Chaudhuri and Claire Monteleoni
Advances in Neural Information Processing Systems 21, 2008

Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack Gallant and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 21, 2008

Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar and Lyle H. Ungar
Advances in Neural Information Processing Systems 21, 2008

The Infinite Hierarchical Factor Regression Model
Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 21, 2008

Bounds on marginal probability distributions
Joris M. Mooij and Hilbert J. Kappen
Advances in Neural Information Processing Systems 21, 2008

Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu
Advances in Neural Information Processing Systems 21, 2008

Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Advances in Neural Information Processing Systems 21, 2008

Implicit Mixtures of Restricted Boltzmann Machines
Vinod Nair and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008

Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin and Rahul Sukthankar
Advances in Neural Information Processing Systems 21, 2008

A Scalable Hierarchical Distributed Language Model
Andriy Mnih and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008

Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango, Nitin Motgi, Seung-taek Park, Raghu Ramakrishnan, Scott Roy and Joe Zachariah
Advances in Neural Information Processing Systems 21, 2008

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Liang Zhang and Deepak Agarwal
Advances in Neural Information Processing Systems 21, 2008

Phase transitions for high-dimensional joint support recovery
Sahand Negahban and Martin J. Wainwright
Advances in Neural Information Processing Systems 21, 2008

Psychiatry: Insights into depression through normative decision-making models
Quentin J. Huys, Joshua Vogelstein and Peter Dayan
Advances in Neural Information Processing Systems 21, 2008

Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Juan Huo, Zhijun Yang and Alan F. Murray
Advances in Neural Information Processing Systems 21, 2008

Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008

Performance analysis for L\_2 kernel classification
Jooseuk Kim and Clayton Scott
Advances in Neural Information Processing Systems 21, 2008

Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi and Andrea Passerini
Advances in Neural Information Processing Systems 21, 2008

Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Ali Rahimi and Benjamin Recht
Advances in Neural Information Processing Systems 21, 2008

Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell Cohen and Geoffrey T. Manley
Advances in Neural Information Processing Systems 21, 2008

Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer, Brian Milch and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 21, 2008

Gates
Tom Minka and John Winn
Advances in Neural Information Processing Systems 21, 2008

Inferring rankings under constrained sensing
Srikanth Jagabathula and Devavrat Shah
Advances in Neural Information Processing Systems 21, 2008

Differentiable Sparse Coding
J. A. Bagnell and David M. Bradley
Advances in Neural Information Processing Systems 21, 2008

Regularized Policy Iteration
Advances in Neural Information Processing Systems 21, 2008

High-dimensional support union recovery in multivariate regression
Guillaume R. Obozinski, Martin J. Wainwright and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008

Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008

Supervised Exponential Family Principal Component Analysis via Convex Optimization
Yuhong Guo
Advances in Neural Information Processing Systems 21, 2008

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara, Srikantan S. Nagarajan and David P. Wipf
Advances in Neural Information Processing Systems 21, 2008

Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008

Characterizing neural dependencies with copula models
Pietro Berkes, Frank Wood and Jonathan W. Pillow
Advances in Neural Information Processing Systems 21, 2008

Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008

A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui and Assane Gueye
Advances in Neural Information Processing Systems 21, 2008

The Mondrian Process
Daniel M. Roy and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008

Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths and Joseph L. Austerweil
Advances in Neural Information Processing Systems 21, 2008

Predictive Indexing for Fast Search
Sharad Goel, John Langford and Alexander L. Strehl
Advances in Neural Information Processing Systems 21, 2008

Relative Margin Machines
Tony Jebara and Pannagadatta K. Shivaswamy
Advances in Neural Information Processing Systems 21, 2008

Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley, Eduardo Corona and Terran Lane
Advances in Neural Information Processing Systems 21, 2008

Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang and Jianbo Shi
Advances in Neural Information Processing Systems 21, 2008

Learning Taxonomies by Dependence Maximization
Matthew Blaschko and Arthur Gretton
Advances in Neural Information Processing Systems 21, 2008

Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
Lukas Kroc, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 21, 2008

Fast Prediction on a Tree
Mark Herbster, Massimiliano Pontil and Sergio R. Galeano
Advances in Neural Information Processing Systems 21, 2008

Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel and Noah A. Smith
Advances in Neural Information Processing Systems 21, 2008

Estimating Robust Query Models with Convex Optimization
Kevyn Collins-thompson
Advances in Neural Information Processing Systems 21, 2008

Spectral Hashing
Yair Weiss, Antonio Torralba and Rob Fergus
Advances in Neural Information Processing Systems 21, 2008

Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu, Wei Xu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008

Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman, Hagai Lalazar and Eilon Vaadia
Advances in Neural Information Processing Systems 21, 2008

Risk Bounds for Randomized Sample Compressed Classifiers
Mohak Shah
Advances in Neural Information Processing Systems 21, 2008

Supervised Dictionary Learning
Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008

Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008

Clustering via LP-based Stabilities
Nikos Komodakis, Nikos Paragios and Georgios Tziritas
Advances in Neural Information Processing Systems 21, 2008

Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski and Jeff G. Schneider
Advances in Neural Information Processing Systems 21, 2008

Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling and Arthur U. Asuncion
Advances in Neural Information Processing Systems 21, 2008

Structure Learning in Human Sequential Decision-Making
Daniel Acuna and Paul R. Schrater
Advances in Neural Information Processing Systems 21, 2008

Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Pérez-cruz
Advances in Neural Information Processing Systems 21, 2008

Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008

Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Advances in Neural Information Processing Systems 21, 2008

Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné and Lucas C. Parra
Advances in Neural Information Processing Systems 21, 2008

Transfer Learning by Distribution Matching for Targeted Advertising
Steffen Bickel, Christoph Sawade and Tobias Scheffer
Advances in Neural Information Processing Systems 21, 2008

Influence of graph construction on graph-based clustering measures
Markus Maier, Ulrike V. Luxburg and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008

Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008

Multi-resolution Exploration in Continuous Spaces
Ali Nouri and Michael L. Littman
Advances in Neural Information Processing Systems 21, 2008

An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter and Daniel Golovin
Advances in Neural Information Processing Systems 21, 2008

A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu and Christine Fawcett
Advances in Neural Information Processing Systems 21, 2008

Sequential effects: Superstition or rational behavior?
Angela J. Yu and Jonathan D. Cohen
Advances in Neural Information Processing Systems 21, 2008

Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski and Eli Upfal
Advances in Neural Information Processing Systems 21, 2008

Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm and Daniel D. Lee
Advances in Neural Information Processing Systems 21, 2008

Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W. Roberts and Russ Tedrake
Advances in Neural Information Processing Systems 21, 2008

Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams and Michael L. Kalish
Advances in Neural Information Processing Systems 21, 2008

Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 21, 2008

MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler and Christopher Meek
Advances in Neural Information Processing Systems 21, 2008

Efficient Sampling for Gaussian Process Inference using Control Variables
Neil D. Lawrence, Magnus Rattray and Michalis K. Titsias
Advances in Neural Information Processing Systems 21, 2008

Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008

Non-parametric Regression Between Manifolds
Florian Steinke and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008

Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall and Sethu Vijayakumar
Advances in Neural Information Processing Systems 21, 2008

Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008

Robust Regression and Lasso
Huan Xu, Constantine Caramanis and Shie Mannor
Advances in Neural Information Processing Systems 21, 2008

A Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta, Jianbo Shi and Larry S. Davis
Advances in Neural Information Processing Systems 21, 2008

Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Jean-philippe Vert and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih Amini, Nicolas Usunier and François Laviolette
Advances in Neural Information Processing Systems 21, 2008

Evaluating probabilities under high-dimensional latent variable models
Iain Murray and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 21, 2008

Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008

A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein, Zhi Wei, Shane T. Jensen and Jon D. Mcauliffe
Advances in Neural Information Processing Systems 21, 2008

Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 21, 2008

MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-kyun Kim and Roberto Cipolla
Advances in Neural Information Processing Systems 21, 2008

The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Fabian H. Sinz and Matthias Bethge
Advances in Neural Information Processing Systems 21, 2008

Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz and Nathan Srebro
Advances in Neural Information Processing Systems 21, 2008

Particle Filter-based Policy Gradient in POMDPs
Pierre-arnaud Coquelin, Romain Deguest and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008

Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Jeremy Lewi, Robert Butera, David M. Schneider, Sarah Woolley and Liam Paninski
Advances in Neural Information Processing Systems 21, 2008

Simple Local Models for Complex Dynamical Systems
Erik Talvitie and Satinder P. Singh
Advances in Neural Information Processing Systems 21, 2008

Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan and Takeo Kanade
Advances in Neural Information Processing Systems 21, 2008

Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008

Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips and Miroslav Dudík
Advances in Neural Information Processing Systems 21, 2008

Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik and Bruno Scherrer
Advances in Neural Information Processing Systems 21, 2008

Kernel Change-point Analysis
Za\"ıd Harchaoui, Eric Moulines and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008

On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008

PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen, Alan Welsh and Lei Wang
Advances in Neural Information Processing Systems 21, 2008

On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Advances in Neural Information Processing Systems 21, 2008

The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton and Graham W. Taylor
Advances in Neural Information Processing Systems 21, 2008

Overlaying classifiers: a practical approach for optimal ranking
Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008

Jennifer Tam, Jiri Simsa, Sean Hyde and Luis V. Ahn
Advances in Neural Information Processing Systems 21, 2008

Playing Pinball with non-invasive BCI
Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-robert Müller and Michael Schröder
Advances in Neural Information Processing Systems 21, 2008

Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Guangzhi Cao and Charles Bouman
Advances in Neural Information Processing Systems 21, 2008

Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008

Kernelized Sorting
Novi Quadrianto, Le Song and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008

Empirical performance maximization for linear rank statistics
Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008

Diffeomorphic Dimensionality Reduction
Christian Walder and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008

Using Bayesian Dynamical Systems for Motion Template Libraries
Silvia Chiappa, Jens Kober and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami and Neil D. Lawrence
Advances in Neural Information Processing Systems 21, 2008

Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang and Hang Li
Advances in Neural Information Processing Systems 21, 2008

A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon, Yee W. Teh, Esther Chan, Timothy Hughes, Michael Brudno and Quaid D. Morris
Advances in Neural Information Processing Systems 21, 2008

ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky and Jacob Goldberger
Advances in Neural Information Processing Systems 21, 2008

An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-philippe Pellet and André Elisseeff
Advances in Neural Information Processing Systems 21, 2008

On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M. Kakade, Karthik Sridharan and Ambuj Tewari
Advances in Neural Information Processing Systems 21, 2008

On the Reliability of Clustering Stability in the Large Sample Regime
Advances in Neural Information Processing Systems 21, 2008

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
Tong Zhang
Advances in Neural Information Processing Systems 21, 2008

Multi-stage Convex Relaxation for Learning with Sparse Regularization
Tong Zhang
Advances in Neural Information Processing Systems 21, 2008

Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
Andrew Smith, Hongyuan Zha and Xiao-ming Wu
Advances in Neural Information Processing Systems 21, 2008

Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
Moritz Grosse-wentrup
Advances in Neural Information Processing Systems 21, 2008

Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze and Fernando Pereira
Advances in Neural Information Processing Systems 21, 2008

Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 21, 2008

Algorithms for Infinitely Many-Armed Bandits
Yizao Wang, Jean-yves Audibert and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008

Improved Moves for Truncated Convex Models
Philip Torr and M. P. Kumar
Advances in Neural Information Processing Systems 21, 2008

Non-stationary dynamic Bayesian networks
Joshua W. Robinson and Alexander J. Hartemink
Advances in Neural Information Processing Systems 21, 2008

Optimization on a Budget: A Reinforcement Learning Approach
Paul L. Ruvolo, Ian Fasel and Javier R. Movellan
Advances in Neural Information Processing Systems 21, 2008

Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya and Masato Okada
Advances in Neural Information Processing Systems 21, 2008

Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar and Kian M. Chai
Advances in Neural Information Processing Systems 21, 2008

Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008

Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
Dotan D. Castro, Dmitry Volkinshtein and Ron Meir
Advances in Neural Information Processing Systems 21, 2008

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee and David M. Blei
Advances in Neural Information Processing Systems 21, 2008

Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 21, 2008

A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
Richard S. Sutton, Hamid R. Maei and Csaba Szepesvári
Advances in Neural Information Processing Systems 21, 2008

Rademacher Complexity Bounds for Non-I.I.D. Processes
Advances in Neural Information Processing Systems 21, 2008

Efficient Exact Inference in Planar Ising Models
Nicol N. Schraudolph and Dmitry Kamenetsky
Advances in Neural Information Processing Systems 21, 2008

Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
Advances in Neural Information Processing Systems 21, 2008

Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-david and Margareta Ackerman
Advances in Neural Information Processing Systems 21, 2008

Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 21, 2008

Scalable Algorithms for String Kernels with Inexact Matching
Pavel P. Kuksa, Pai-hsi Huang and Vladimir Pavlovic
Advances in Neural Information Processing Systems 21, 2008

Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu, Jeffrey Kaye and Todd K. Leen
Advances in Neural Information Processing Systems 21, 2008

A computational model of hippocampal function in trace conditioning
Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek and E. J. Kehoe
Advances in Neural Information Processing Systems 21, 2008

MDPs with Non-Deterministic Policies
Mahdi M. Fard and Joelle Pineau
Advances in Neural Information Processing Systems 21, 2008

Shape-Based Object Localization for Descriptive Classification
Geremy Heitz, Gal Elidan, Benjamin Packer and Daphne Koller
Advances in Neural Information Processing Systems 21, 2008

Short-Term Depression in VLSI Stochastic Synapse
Peng Xu, Timothy K. Horiuchi and Pamela A. Abshire
Advances in Neural Information Processing Systems 21, 2008

Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett and Jorge Silva
Advances in Neural Information Processing Systems 21, 2008

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Biessmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008

A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya and Masato Okada
Advances in Neural Information Processing Systems 21, 2008

Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger and Olivier Chapelle
Advances in Neural Information Processing Systems 21, 2008

Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking
Nir Ailon
Advances in Neural Information Processing Systems 21, 2008

Multiscale Random Fields with Application to Contour Grouping
Longin J. Latecki, Chengen Lu, Marc Sobel and Xiang Bai
Advances in Neural Information Processing Systems 21, 2008

Nonparametric regression and classification with joint sparsity constraints
Han Liu, Larry Wasserman and John D. Lafferty
Advances in Neural Information Processing Systems 21, 2008

Syntactic Topic Models
Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 21, 2008

Theory of matching pursuit
Zakria Hussain and John S. Shawe-taylor
Advances in Neural Information Processing Systems 21, 2008

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Alan S. Willsky, Michael I. Jordan and Alan S. Willsky
Advances in Neural Information Processing Systems 21, 2008

Learning a discriminative hidden part model for human action recognition
Yang Wang and Greg Mori
Advances in Neural Information Processing Systems 21, 2008

Integrating Locally Learned Causal Structures with Overlapping Variables
David Danks, Clark Glymour and Robert E. Tillman
Advances in Neural Information Processing Systems 21, 2008

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan and Dit-yan Yeung
Advances in Neural Information Processing Systems 21, 2008

Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-cheung Tam and Tanja Schultz
Advances in Neural Information Processing Systems 21, 2008

On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite and Florentin Wörgötter
Advances in Neural Information Processing Systems 21, 2008

On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M. Kakade and Ambuj Tewari
Advances in Neural Information Processing Systems 21, 2008

Supervised Bipartite Graph Inference
Yoshihiro Yamanishi
Advances in Neural Information Processing Systems 21, 2008

Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee and Feng Liang
Advances in Neural Information Processing Systems 21, 2008

Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li and Tong Zhang
Advances in Neural Information Processing Systems 21, 2008

Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
Advances in Neural Information Processing Systems 21, 2008

How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008

Sparsity of SVMs that use the epsilon-insensitive loss
Ingo Steinwart and Andreas Christmann
Advances in Neural Information Processing Systems 21, 2008

Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das and Malik Magdon-ismail
Advances in Neural Information Processing Systems 21, 2008

Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008

Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas R. Peters and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008

Using matrices to model symbolic relationship
Ilya Sutskever and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008

Automatic online tuning for fast Gaussian summation
Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar, Ramani Duraiswami and Larry S. Davis
Advances in Neural Information Processing Systems 21, 2008

Temporal Dynamics of Cognitive Control
Jeremy Reynolds and Michael C. Mozer
Advances in Neural Information Processing Systems 21, 2008

Optimal Response Initiation: Why Recent Experience Matters
Matt Jones, Sachiko Kinoshita and Michael C. Mozer
Advances in Neural Information Processing Systems 21, 2008

Structured ranking learning using cumulative distribution networks
Jim C. Huang and Brendan J. Frey
Advances in Neural Information Processing Systems 21, 2008

Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison, Frank Ohl and Misha Pavel
Advances in Neural Information Processing Systems 21, 2008

On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock and Frank Nielsen
Advances in Neural Information Processing Systems 21, 2008

Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer, Thomas Jaksch and Ronald Ortner
Advances in Neural Information Processing Systems 21, 2008

The Gaussian Process Density Sampler
Iain Murray, David Mackay and Ryan P. Adams
Advances in Neural Information Processing Systems 21, 2008

Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn and Miles Osborne
Advances in Neural Information Processing Systems 21, 2008

Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing and Robert A. Legenstein
Advances in Neural Information Processing Systems 21, 2008

Learning Transformational Invariants from Natural Movies
Charles Cadieu and Bruno A. Olshausen
Advances in Neural Information Processing Systems 21, 2008

Yishay Mansour, Mehryar Mohri and Afshin Rostamizadeh
Advances in Neural Information Processing Systems 21, 2008

Deflation Methods for Sparse PCA
Lester W. Mackey
Advances in Neural Information Processing Systems 21, 2008

From Online to Batch Learning with Cutoff-Averaging
Ofer Dekel
Advances in Neural Information Processing Systems 21, 2008

Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz and Sham M. Kakade
Advances in Neural Information Processing Systems 21, 2008

A Massively Parallel Digital Learning Processor
Advances in Neural Information Processing Systems 21, 2008

Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing and Bo Zhang
Advances in Neural Information Processing Systems 21, 2008

Robust Kernel Principal Component Analysis
Minh H. Nguyen and Fernando Torre
Advances in Neural Information Processing Systems 21, 2008

Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar and Stefan Schaal
Advances in Neural Information Processing Systems 21, 2008

An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 21, 2008

Self-organization using synaptic plasticity
Vicençc Gómez, Andreas Kaltenbrunner, Vicente López and Hilbert J. Kappen
Advances in Neural Information Processing Systems 21, 2008

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008

Sparse Convolved Gaussian Processes for Multi-output Regression
Mauricio Alvarez and Neil D. Lawrence
Advances in Neural Information Processing Systems 21, 2008

Learning Bounded Treewidth Bayesian Networks
Gal Elidan and Stephen Gould
Advances in Neural Information Processing Systems 21, 2008

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken, Steffen Grünewälder, Matthias Munk and Klaus Obermayer
Advances in Neural Information Processing Systems 21, 2008

Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi and Claudio Gentile
Advances in Neural Information Processing Systems 21, 2008

Michael Isard, John Maccormick and Kannan Achan
Advances in Neural Information Processing Systems 21, 2008

Dimensionality Reduction for Data in Multiple Feature Representations
Yen-yu Lin, Tyng-luh Liu and Chiou-shann Fuh
Advances in Neural Information Processing Systems 21, 2008

Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur and Klaus Obermayer
Advances in Neural Information Processing Systems 21, 2008

An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu, Rong Jin, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 21, 2008

Dynamic visual attention: searching for coding length increments
Xiaodi Hou and Liqing Zhang
Advances in Neural Information Processing Systems 21, 2008

Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido and Masashi Sugiyama
Advances in Neural Information Processing Systems 21, 2008

An ideal observer model of infant object perception
Charles Kemp and Fei Xu
Advances in Neural Information Processing Systems 21, 2008

Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye
Advances in Neural Information Processing Systems 21, 2008

Recursive Segmentation and Recognition Templates for 2D Parsing
Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin and Alan L. Yuille
Advances in Neural Information Processing Systems 21, 2008

Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei Lyu and Eero P. Simoncelli
Advances in Neural Information Processing Systems 21, 2008

Interpreting the neural code with Formal Concept Analysis
Dominik Endres and Peter Foldiak
Advances in Neural Information Processing Systems 21, 2008

Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Carmen Sandi, Wulfram Gerstner and Gediminas Lukšys
Advances in Neural Information Processing Systems 21, 2008

The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh and Zoubin Ghahramani
Advances in Neural Information Processing Systems 21, 2008

Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 21, 2008

Tracking Changing Stimuli in Continuous Attractor Neural Networks
K. Wong, Si Wu and Chi Fung
Advances in Neural Information Processing Systems 21, 2008

Translated Learning: Transfer Learning across Different Feature Spaces
Wenyuan Dai, Yuqiang Chen, Gui-rong Xue, Qiang Yang and Yong Yu
Advances in Neural Information Processing Systems 21, 2008

Variational Mixture of Gaussian Process Experts
Chao Yuan and Claus Neubauer
Advances in Neural Information Processing Systems 21, 2008

Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv and Jonathan D. Cohen
Advances in Neural Information Processing Systems 21, 2008

Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague and Peter Dayan
Advances in Neural Information Processing Systems 21, 2008

Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Advances in Neural Information Processing Systems 21, 2008

Policy Search for Motor Primitives in Robotics
Jens Kober and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran T. Truyen, Dinh Phung, Hung Bui and Svetha Venkatesh
Advances in Neural Information Processing Systems 21, 2008

Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena and Daphne Koller
Advances in Neural Information Processing Systems 21, 2008

Robust Near-Isometric Matching via Structured Learning of Graphical Models
Alex J. Smola, Julian J. Mcauley and Tibério S. Caetano
Advances in Neural Information Processing Systems 21, 2008

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey and Oren Etzioni
Advances in Neural Information Processing Systems 21, 2008

Cyclizing Clusters via Zeta Function of a Graph
Deli Zhao and Xiaoou Tang
Advances in Neural Information Processing Systems 21, 2008

Peter Dayan
Advances in Neural Information Processing Systems 21, 2008

Goal-directed decision making in prefrontal cortex: a computational framework
Matthew Botvinick and James An
Advances in Neural Information Processing Systems 21, 2008

Natural Image Denoising with Convolutional Networks
Viren Jain and Sebastian Seung
Advances in Neural Information Processing Systems 21, 2008

Spike Feature Extraction Using Informative Samples
Zhi Yang, Qi Zhao and Wentai Liu
Advances in Neural Information Processing Systems 21, 2008

Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-robert Müller and Guido Nolte
Advances in Neural Information Processing Systems 21, 2008

An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt and Nando D. Freitas
Advances in Neural Information Processing Systems 21, 2008