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All publications at Proceedings of the 25th International Conference on Machine Learning (ICML-08)
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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