Search Machine Learning Repository:
All publications in 2004
authors venues years



Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
Zhihua Zhang, Dit-yan Yeung and James T. Kwok
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Probabilistic score estimation with piecewise logistic regression
Jian Zhang and Yiming Yang
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Zhihua Zhang, James T. Kwok and Dit-yan Yeung
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Solving large scale linear prediction problems using stochastic gradient descent algorithms
Tong Zhang
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning and evaluating classifiers under sample selection bias
Bianca Zadrozny
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Feature extraction via generalized uncorrelated linear discriminant analysis
Jieping Ye, Ravi Janardan, Qi Li and Haesun Park
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Generalized low rank approximations of matrices
Jieping Ye
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Bayesian haplo-type inference via the dirichlet process
Eric P. Xing, Roded Sharan and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Improving SVM accuracy by training on auxiliary data sources
Pengcheng Wu and Thomas G. Dietterich
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


P3VI: a partitioned, prioritized, parallel value iterator
David Wingate and Kevin D. Seppi
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Utile distinction hidden Markov models
Daan Wierstra and Marco Wiering
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Approximate inference by Markov chains on union spaces
Max Welling, Michal Rosen-zvi and Yee W. Teh
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning a kernel matrix for nonlinear dimensionality reduction
Kilian Q. Weinberger, Fei Sha and Lawrence K. Saul
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A hierarchical method for multi-class support vector machines
Volkan Vural and Jennifer G. Dy
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Support vector machine learning for interdependent and structured output spaces
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims and Yasemin Altun
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning random walk models for inducing word dependency distributions
Kristina Toutanova, Christopher D. Manning and Andrew Y. Ng
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning associative Markov networks
Vassil Chatalbashev, Daphne Koller and Ben Taskar
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


SVM-based generalized multiple-instance learning via approximate box counting
Qingping Tao, Stephen D. Scott, N. V. Vinodchandran and Thomas T. Osugi
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Interpolation-based Q-learning
Csaba Szepesvári and William D. Smart
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
Charles A. Sutton, Khashayar Rohanimanesh and Andrew Mccallum
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Automated hierarchical mixtures of probabilistic principal component analyzers
Ting Su and Jennifer G. Dy
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Efficient hierarchical MCMC for policy search
Malcolm Strens
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Generative modeling for continuous non-linearly embedded visual inference
Cristian Sminchisescu and Allan D. Jepson
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Using relative novelty to identify useful temporal abstractions in reinforcement learning
Özgür Simsek and Andrew G. Barto
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Online and batch learning of pseudo-metrics
Shai Shalev-shwartz, Yoram Singer and Andrew Y. Ng
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Coalition calculation in a dynamic agent environment
Ted Scully, Michael G. Madden and Gerard Lyons
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Online learning of conditionally I.I.D. data
Daniil Ryabko
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Adaptive cognitive orthotics: combining reinforcement learning and constraint-based temporal reasoning
Matthew R. Rudary, Satinder P. Singh and Martha E. Pollack
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Towards tight bounds for rule learning
Ulrich Rückert and Stefan Kramer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Model selection via the AUC
Saharon Rosset
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning low dimensional predictive representations
Matthew Rosencrantz, Geoffrey J. Gordon and Sebastian Thrun
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning to cluster using local neighborhood structure
Rómer Rosales, Kannan Achan and Brendan J. Frey
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Sequential skewing: an improved skewing algorithm
Soumya Ray and David Page
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Predictive automatic relevance determination by expectation propagation
Yuan (. Qi, Thomas P. Minka, Rosalind W. Picard and Zoubin Ghahramani
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Incremental learning of linear model trees
Duncan Potts
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Apprenticeship learning via inverse reinforcement learning
Pieter Abbeel and Andrew Y. Ng
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A maximum entropy approach to species distribution modeling
Steven J. Phillips, Miroslav Dudík and Robert E. Schapire
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Distribution kernels based on moments of counts
Corinna Cortes and Mehryar Mohri
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning with non-positive kernels
Cheng S. Ong, Xavier Mary, Stéphane Canu and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Decentralized detection and classification using kernel methods
Xuanlong Nguyen, Martin J. Wainwright and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Active learning using pre-clustering
Hieu T. Nguyen and Arnold Smeulders
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao and Takashi Okada
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning to fly by combining reinforcement learning with behavioural cloning
Eduardo F. Morales and Claude Sammut
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Convergence of synchronous reinforcement learning with linear function approximation
Artur Merke and Ralf Schoknecht
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Diverse ensembles for active learning
Prem Melville and Raymond J. Mooney
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


The multiple multiplicative factor model for collaborative filtering
Benjamin M. Marlin and Richard S. Zemel
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Bias and variance in value function estimation
Shie Mannor, Duncan Simester, Peng Sun and John N. Tsitsiklis
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Dynamic abstraction in reinforcement learning via clustering
Shie Mannor, Ishai Menache, Amit Hoze and Uri Klein
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Extensions of marginalized graph kernels
Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-luc Perret and Jean-philippe Vert
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Decision trees with minimal costs
Charles X. Ling, Qiang Yang, Jianning Wang and Shichao Zhang
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Entropy-based criterion in categorical clustering
Tao Li, Sheng Ma and Mitsunori Ogihara
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Probabilistic tangent subspace: a unified view
Jianguo Lee, Jingdong Wang, Changshui Zhang and Zhaoqi Bian
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Hyperplane margin classifiers on the multinomial manifold
Guy Lebanon and John D. Lafferty
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning to learn with the informative vector machine
Neil D. Lawrence and John C. Platt
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Kernel conditional random fields: representation and clique selection
John D. Lafferty, Xiaojin Zhu and Yan Liu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Leveraging the margin more carefully
Nir Krause and Yoram Singer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Authorship verification as a one-class classification problem
Moshe Koppel and Jonathan Schler
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Sparse cooperative Q-learning
Jelle R. Kok and Nikos A. Vlassis
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Gradient LASSO for feature selection
Yongdai Kim and Jinseog Kim
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Bellman goes relational
Kristian Kersting, Martijn V. Otterlo and Luc D. Raedt
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
Hisashi Kashima and Yuta Tsuboi
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Robust feature induction for support vector machines
Rong Jin and Huan Liu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A spatio-temporal extension to Isomap nonlinear dimension reduction
Odest C. Jenkins and Maja J. Mataric
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Multi-task feature and kernel selection for SVMs
Tony Jebara
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Boosting grammatical inference with confidence oracles
Jean-christophe Janodet, Richard Nock, Marc Sebban and Henri-maxime Suchier
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning and discovery of predictive state representations in dynamical systems with reset
Michael R. James and Satinder P. Singh
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Testing the significance of attribute interactions
Aleks Jakulin and Ivan Bratko
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning large margin classifiers locally and globally
Kaizhu Huang, Haiqin Yang, Irwin King and Michael R. Lyu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Boosting margin based distance functions for clustering
Tomer Hertz, Aharon Bar-hillel and Daphna Weinshall
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Optimising area under the ROC curve using gradient descent
Alan Herschtal and Bhavani Raskutti
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A theoretical characterization of linear SVM-based feature selection
Douglas P. Hardin, Ioannis Tsamardinos and Constantin F. Aliferis
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A kernel view of the dimensionality reduction of manifolds
Jihun Ham, Daniel D. Lee, Sebastian Mika and Bernhard Schölkopf
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning Bayesian network classifiers by maximizing conditional likelihood
Daniel Grossman and Pedro Domingos
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Parameter space exploration with Gaussian process trees
Robert B. Gramacy, Herbert Lee and William G. Macready
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Tractable learning of large Bayes net structures from sparse data
Anna Goldenberg and Andrew Moore
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Margin based feature selection - theory and algorithms
Ran Gilad-bachrach, Amir Navot and Naftali Tishby
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A MFoM learning approach to robust multiclass multi-label text categorization
Sheng Gao, Wen Wu, Chin-hui Lee and Tat-seng Chua
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Evgeniy Gabrilovich and Shaul Markovitch
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A fast iterative algorithm for fisher discriminant using heterogeneous kernels
Glenn Fung, Murat Dundar, Jinbo Bi and R. B. Rao
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Ensembles of nested dichotomies for multi-class problems
Eibe Frank and Stefan Kramer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A pitfall and solution in multi-class feature selection for text classification
George Forman
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Delegating classifiers
César Ferri, Peter A. Flach and José Hernández-orallo
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Relational sequential inference with reliable observations
Alan Fern and Robert Givan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Solving cluster ensemble problems by bipartite graph partitioning
Xiaoli Z. Fern, Russ Greiner and Dale Schuurmans
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A Monte Carlo analysis of ensemble classification
Roberto Esposito and Lorenza Saitta
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Lookahead-based algorithms for anytime induction of decision trees
Saher Esmeir and Shaul Markovitch
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning probabilistic motion models for mobile robots
Austin I. Eliazar and Ronald Parr
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


{\it K}-means clustering via principal component analysis
Chris Ding and Xiaofeng He
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Linearized cluster assignment via spectral ordering
Chris Ding and Xiaofeng He
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Training conditional random fields via gradient tree boosting
Thomas G. Dietterich, Adam Ashenfelter and Yaroslav Bulatov
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Large margin hierarchical classification
Ofer Dekel, Joseph Keshet and Yoram Singer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


The Bayesian backfitting relevance vector machine
Aaron D'souza, Sethu Vijayakumar and Stefan Schaal
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A needle in a haystack: local one-class optimization
Koby Crammer and Gal Chechik
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Distribution kernels based on moments of counts
Corinna Cortes and Mehryar Mohri
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Communication complexity as a lower bound for learning in games
Vincent Conitzer and Tuomas Sandholm
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Links between perceptrons, MLPs and SVMs
Ronan Collobert and Samy Bengio
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering
Sharlee Climer and Weixiong Zhang
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A graphical model for protein secondary structure prediction
Wei Chu, Zoubin Ghahramani and David L. Wild
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Locally linear metric adaptation for semi-supervised clustering
Hong Chang and Dit-yan Yeung
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
Lourdes P. Castillo and Stefan Wrobel
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Ensemble selection from libraries of models
Rich Caruana, Alexandru Niculescu-mizil, Geoff Crew and Alex Ksikes
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Active learning of label ranking functions
Klaus Brinker
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Co-EM support vector learning
Ulf Brefeld and Tobias Scheffer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Estimating replicability of classifier learning experiments
Remco R. Bouckaert
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Nonparametric classification with polynomial MPMC cascades
Sander M. Bohte, Markus Breitenbach and Gregory Z. Grudic
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Semi-supervised learning using randomized mincuts
Avrim Blum, John D. Lafferty, Mugizi R. Rwebangira and Rajashekar Reddy
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Variational methods for the Dirichlet process
David M. Blei and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Integrating constraints and metric learning in semi-supervised clustering
Mikhail Bilenko, Sugato Basu and Raymond J. Mooney
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


C4.5 competence map: a phase transition-inspired approach
Nicolas Baskiotis and Mich\`ele Sebag
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Unifying collaborative and content-based filtering
Justin Basilico and Thomas Hofmann
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


An information theoretic analysis of maximum likelihood mixture estimation for exponential families
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh and Srujana Merugu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Feature subset selection for learning preferences: a case study
Antonio Bahamonde, Gustavo F. Bayón, Jorge D\'ıez, José R. Quevedo, Oscar Luaces, Juan Coz, Jaime Alonso and Félix Goyache
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Multiple kernel learning, conic duality, and the SMO algorithm
Francis R. Bach, Gert Lanckriet and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Redundant feature elimination for multi-class problems
Annalisa Appice, Michelangelo Ceci, Simon Rawles and Peter A. Flach
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Gaussian process classification for segmenting and annotating sequences
Yasemin Altun, Thomas Hofmann and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A multiplicative up-propagation algorithm
Jong-hoon Ahn, Seungjin Choi and Jong-hoon Oh
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning to track 3D human motion from silhouettes
Ankur Agarwal and Bill Triggs
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Andreas Ziehe, Pavel Laskov, Guido Nolte and Klaus-robert Müller
Journal of Machine Learning Research, 2004


Statistical Analysis of Some Multi-Category Large Margin Classification Methods
Tong Zhang
Journal of Machine Learning Research, 2004


Hierarchical Latent Class Models for Cluster Analysis
Nevin L. Zhang
Journal of Machine Learning Research, 2004


Efficient Feature Selection via Analysis of Relevance and Redundancy
Lei Yu and Huan Liu
Journal of Machine Learning Research, 2004


Probability Estimates for Multi-class Classification by Pairwise Coupling
Ting-fan Wu, Chih-jen Lin and Ruby C. Weng
Journal of Machine Learning Research, 2004


A Universal Well-Calibrated Algorithm for On-line Classification
Vladimir Vovk
Journal of Machine Learning Research, 2004


Some Properties of Regularized Kernel Methods
Ernesto D. Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana and Alessandro Verri
Journal of Machine Learning Research, 2004


Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini and Thomas G. Dietterich
Journal of Machine Learning Research, 2004


Randomized Variable Elimination
David J. Stracuzzi and Paul E. Utgoff
Journal of Machine Learning Research, 2004


Some Dichotomy Theorems for Neural Learning Problems
Michael Schmitt
Journal of Machine Learning Research, 2004


Reinforcement Learning with Factored States and Actions
Brian Sallans and Geoffrey E. Hinton
Journal of Machine Learning Research, 2004


The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins
Cynthia Rudin, Ingrid Daubechies and Robert E. Schapire
Journal of Machine Learning Research, 2004


Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu and Trevor Hastie
Journal of Machine Learning Research, 2004


In Defense of One-Vs-All Classification
Ryan M. Rifkin and Aldebaro Klautau
Journal of Machine Learning Research, 2004


Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces
Michael Quist and Golan Yona
Journal of Machine Learning Research, 2004


Detecting Significant Multidimensional Spatial Clusters
Daniel B. Neill, Andrew W. Moore, Francisco Pereira and Tom M. Mitchell
Advances in Neural Information Processing Systems 17, 2004


Seeing through water
Alexei Efros, Volkan Isler, Jianbo Shi and Mirkó Visontai
Advances in Neural Information Processing Systems 17, 2004


Message Errors in Belief Propagation
Alexander T. Ihler, John W. Fisher and Alan S. Willsky
Advances in Neural Information Processing Systems 17, 2004


Maximum Likelihood Estimation of Intrinsic Dimension
Elizaveta Levina and Peter J. Bickel
Advances in Neural Information Processing Systems 17, 2004


Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification
Tong Zhang
Advances in Neural Information Processing Systems 17, 2004


Learning first-order Markov models for control
Pieter Abbeel and Andrew Y. Ng
Advances in Neural Information Processing Systems 17, 2004


Learning Syntactic Patterns for Automatic Hypernym Discovery
Rion Snow, Daniel Jurafsky and Andrew Y. Ng
Advances in Neural Information Processing Systems 17, 2004


Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
Erik B. Sudderth, Michael I. Mandel, William T. Freeman and Alan S. Willsky
Advances in Neural Information Processing Systems 17, 2004


Generalization Error and Algorithmic Convergence of Median Boosting
Balázs Kégl
Advances in Neural Information Processing Systems 17, 2004


Planning for Markov Decision Processes with Sparse Stochasticity
Maxim Likhachev, Sebastian Thrun and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 17, 2004


An Information Maximization Model of Eye Movements
Laura W. Renninger, James M. Coughlan, Preeti Verghese and Jitendra Malik
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Learning with Penalized Probabilistic Clustering
Zhengdong Lu and Todd K. Leen
Advances in Neural Information Processing Systems 17, 2004


Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
Tim K. Marks, J. C. Roddey, Javier R. Movellan and John R. Hershey
Advances in Neural Information Processing Systems 17, 2004


Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale
Haidong Wang, Eran Segal, Asa Ben-hur, Daphne Koller and Douglas L. Brutlag
Advances in Neural Information Processing Systems 17, 2004


Distributed Information Regularization on Graphs
Adrian Corduneanu and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


A Machine Learning Approach to Conjoint Analysis
Olivier Chapelle and Za\"ıd Harchaoui
Advances in Neural Information Processing Systems 17, 2004


Constraining a Bayesian Model of Human Visual Speed Perception
Alan Stocker and Eero P. Simoncelli
Advances in Neural Information Processing Systems 17, 2004


Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Kumar Chellapilla and Patrice Y. Simard
Advances in Neural Information Processing Systems 17, 2004


Temporal-Difference Networks
Richard S. Sutton and Brian Tanner
Advances in Neural Information Processing Systems 17, 2004


Binet-Cauchy Kernels
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 17, 2004


Multiple Relational Embedding
Roland Memisevic and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 17, 2004


Maximum Margin Clustering
Linli Xu, James Neufeld, Bryce Larson and Dale Schuurmans
Advances in Neural Information Processing Systems 17, 2004


Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
Evan C. Smith and Michael S. Lewicki
Advances in Neural Information Processing Systems 17, 2004


Nearly Tight Bounds for the Continuum-Armed Bandit Problem
Robert D. Kleinberg
Advances in Neural Information Processing Systems 17, 2004


Online Bounds for Bayesian Algorithms
Sham M. Kakade and Andrew Y. Ng
Advances in Neural Information Processing Systems 17, 2004


$\ell_0$-norm Minimization for Basis Selection
David P. Wipf and Bhaskar D. Rao
Advances in Neural Information Processing Systems 17, 2004


Multi-agent Cooperation in Diverse Population Games
K. Wong, S. W. Lim and Z. Gao
Advances in Neural Information Processing Systems 17, 2004


Conditional Random Fields for Object Recognition
Ariadna Quattoni, Michael Collins and Trevor Darrell
Advances in Neural Information Processing Systems 17, 2004


Kernels for Multi--task Learning
Charles A. Micchelli and Massimiliano Pontil
Advances in Neural Information Processing Systems 17, 2004


Comparing Beliefs, Surveys, and Random Walks
Erik Aurell, Uri Gordon and Scott Kirkpatrick
Advances in Neural Information Processing Systems 17, 2004


Theory of localized synfire chain: characteristic propagation speed of stable spike pattern
Kosuke Hamaguchi, Masato Okada and Kazuyuki Aihara
Advances in Neural Information Processing Systems 17, 2004


Machine Learning Applied to Perception: Decision Images for Gender Classification
Felix A. Wichmann, Arnulf B. Graf, Heinrich H. Bülthoff, Eero P. Simoncelli and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Proximity Graphs for Clustering and Manifold Learning
Richard S. Zemel and Miguel Á. Carreira-perpiñán
Advances in Neural Information Processing Systems 17, 2004


Experts in a Markov Decision Process
Eyal Even-dar, Sham M. Kakade and Yishay Mansour
Advances in Neural Information Processing Systems 17, 2004


Computing regularization paths for learning multiple kernels
Francis R. Bach, Romain Thibaux and Michael I. Jordan
Advances in Neural Information Processing Systems 17, 2004


Theories of Access Consciousness
Michael D. Colagrosso and Michael C. Mozer
Advances in Neural Information Processing Systems 17, 2004


Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
Omid Madani, David M. Pennock and Gary W. Flake
Advances in Neural Information Processing Systems 17, 2004


Triangle Fixing Algorithms for the Metric Nearness Problem
Suvrit Sra, Joel Tropp and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 17, 2004


Learning Gaussian Process Kernels via Hierarchical Bayes
Anton Schwaighofer, Volker Tresp and Kai Yu
Advances in Neural Information Processing Systems 17, 2004


Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
Yee W. Teh, Michael I. Jordan, Matthew J. Beal and David M. Blei
Advances in Neural Information Processing Systems 17, 2004


Joint MRI Bias Removal Using Entropy Minimization Across Images
Erik G. Learned-miller and Parvez Ahammad
Advances in Neural Information Processing Systems 17, 2004


Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
Eizaburo Doi and Michael S. Lewicki
Advances in Neural Information Processing Systems 17, 2004


Modelling Uncertainty in the Game of Go
David H. Stern, Thore Graepel and David Mackay
Advances in Neural Information Processing Systems 17, 2004


Markov Networks for Detecting Overalpping Elements in Sequence Data
Mark Craven and Joseph Bockhorst
Advances in Neural Information Processing Systems 17, 2004


Exponential Family Harmoniums with an Application to Information Retrieval
Max Welling, Michal Rosen-zvi and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 17, 2004


Intrinsically Motivated Reinforcement Learning
Nuttapong Chentanez, Andrew G. Barto and Satinder P. Singh
Advances in Neural Information Processing Systems 17, 2004


Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
Vladimir Koltchinskii, Manel Martínez-ramón and Stefan Posse
Advances in Neural Information Processing Systems 17, 2004


Beat Tracking the Graphical Model Way
Dustin Lang and Nando D. Freitas
Advances in Neural Information Processing Systems 17, 2004


Probabilistic Computation in Spiking Populations
Richard S. Zemel, Rama Natarajan, Peter Dayan and Quentin J. Huys
Advances in Neural Information Processing Systems 17, 2004


Joint Probabilistic Curve Clustering and Alignment
Scott J. Gaffney and Padhraic Smyth
Advances in Neural Information Processing Systems 17, 2004


Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
Daniela D. Farias and Nimrod Megiddo
Advances in Neural Information Processing Systems 17, 2004


Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition
Baranidharan Raman and Ricardo Gutierrez-osuna
Advances in Neural Information Processing Systems 17, 2004


Expectation Consistent Free Energies for Approximate Inference
Manfred Opper and Ole Winther
Advances in Neural Information Processing Systems 17, 2004


Contextual Models for Object Detection Using Boosted Random Fields
Antonio Torralba, Kevin P. Murphy and William T. Freeman
Advances in Neural Information Processing Systems 17, 2004


Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
Shantanu Chakrabartty and Gert Cauwenberghs
Advances in Neural Information Processing Systems 17, 2004


Non-Local Manifold Tangent Learning
Yoshua Bengio and Martin Monperrus
Advances in Neural Information Processing Systems 17, 2004


A Large Deviation Bound for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich and Dan Roth
Advances in Neural Information Processing Systems 17, 2004


Approximately Efficient Online Mechanism Design
David C. Parkes, Dimah Yanovsky and Satinder P. Singh
Advances in Neural Information Processing Systems 17, 2004


A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
Daniela D. Farias and Benjamin V. Roy
Advances in Neural Information Processing Systems 17, 2004


VDCBPI: an Approximate Scalable Algorithm for Large POMDPs
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 17, 2004


Rate- and Phase-coded Autoassociative Memory
Máté Lengyel and Peter Dayan
Advances in Neural Information Processing Systems 17, 2004


Kernel Projection Machine: a New Tool for Pattern Recognition
Laurent Zwald, Gilles Blanchard, Pascal Massart and Régis Vert
Advances in Neural Information Processing Systems 17, 2004


Dynamic Bayesian Networks for Brain-Computer Interfaces
Pradeep Shenoy and Rajesh P. Rao
Advances in Neural Information Processing Systems 17, 2004


Solitaire: Man Versus Machine
Xiang Yan, Persi Diaconis, Paat Rusmevichientong and Benjamin V. Roy
Advances in Neural Information Processing Systems 17, 2004


Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Yuanqing Lin and Daniel D. Lee
Advances in Neural Information Processing Systems 17, 2004


Optimal sub-graphical models
Mukund Narasimhan and Jeff A. Bilmes
Advances in Neural Information Processing Systems 17, 2004


Brain Inspired Reinforcement Learning
Françcois Rivest, Yoshua Bengio and John Kalaska
Advances in Neural Information Processing Systems 17, 2004


Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Hyun J. Park and Te W. Lee
Advances in Neural Information Processing Systems 17, 2004


Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons
R. J. Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs and Ralph Etienne-cummings
Advances in Neural Information Processing Systems 17, 2004


A Direct Formulation for Sparse PCA Using Semidefinite Programming
Alexandre D'aspremont, Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 17, 2004


Integrating Topics and Syntax
Thomas L. Griffiths, Mark Steyvers, David M. Blei and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 17, 2004


Learning, Regularization and Ill-Posed Inverse Problems
Lorenzo Rosasco, Andrea Caponnetto, Ernesto D. Vito, Francesca Odone and Umberto D. Giovannini
Advances in Neural Information Processing Systems 17, 2004


Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
Taro Toyoizumi, Jean-pascal Pfister, Kazuyuki Aihara and Wulfram Gerstner
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Clustering of a Mixture Model
Jacob Goldberger and Sam T. Roweis
Advances in Neural Information Processing Systems 17, 2004


Schema Learning: Experience-Based Construction of Predictive Action Models
Michael P. Holmes and Charles Jr.
Advances in Neural Information Processing Systems 17, 2004


Euclidean Embedding of Co-Occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira and Naftali Tishby
Advances in Neural Information Processing Systems 17, 2004


Blind One-microphone Speech Separation: A Spectral Learning Approach
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 17, 2004


Coarticulation in Markov Decision Processes
Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan and Roderic Grupen
Advances in Neural Information Processing Systems 17, 2004


Exponentiated Gradient Algorithms for Large-margin Structured Classification
Peter L. Bartlett, Michael Collins, Ben Taskar and David A. Mcallester
Advances in Neural Information Processing Systems 17, 2004


Inference, Attention, and Decision in a Bayesian Neural Architecture
Angela J. Yu and Peter Dayan
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Bayesian Inference in Networks of Spiking Neurons
Rajesh P. Rao
Advances in Neural Information Processing Systems 17, 2004


Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
Aaron C. Courville, Nathaniel D. Daw and David S. Touretzky
Advances in Neural Information Processing Systems 17, 2004


Adaptive Manifold Learning
Jing Wang, Zhenyue Zhang and Hongyuan Zha
Advances in Neural Information Processing Systems 17, 2004


Synergistic Face Detection and Pose Estimation with Energy-Based Models
Margarita Osadchy, Matthew L. Miller and Yann L. Cun
Advances in Neural Information Processing Systems 17, 2004


Assignment of Multiplicative Mixtures in Natural Images
Odelia Schwartz, Terrence J. Sejnowski and Peter Dayan
Advances in Neural Information Processing Systems 17, 2004


Who's In the Picture
Tamara L. Berg, Alexander C. Berg, Jaety Edwards and David A. Forsyth
Advances in Neural Information Processing Systems 17, 2004


A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
Saharon Rosset, Ji Zhu, Hui Zou and Trevor J. Hastie
Advances in Neural Information Processing Systems 17, 2004


Modeling Conversational Dynamics as a Mixed-Memory Markov Process
Tanzeem Choudhury and Sumit Basu
Advances in Neural Information Processing Systems 17, 2004


Responding to Modalities with Different Latencies
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya and Okihide Hikosaka
Advances in Neural Information Processing Systems 17, 2004


Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons
Jochen Triesch
Advances in Neural Information Processing Systems 17, 2004


Maximum-Margin Matrix Factorization
Nathan Srebro, Jason Rennie and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


Semigroup Kernels on Finite Sets
Marco Cuturi and Jean-philippe Vert
Advances in Neural Information Processing Systems 17, 2004


The Entire Regularization Path for the Support Vector Machine
Saharon Rosset, Robert Tibshirani, Ji Zhu and Trevor J. Hastie
Advances in Neural Information Processing Systems 17, 2004


Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks
Joris M. Mooij and Hilbert J. Kappen
Advances in Neural Information Processing Systems 17, 2004


The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces
Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun and James Davis
Advances in Neural Information Processing Systems 17, 2004


Adaptive Discriminative Generative Model and Its Applications
Ruei-sung Lin, David A. Ross, Jongwoo Lim and Ming-hsuan Yang
Advances in Neural Information Processing Systems 17, 2004


Self-Tuning Spectral Clustering
Lihi Zelnik-manor and Pietro Perona
Advances in Neural Information Processing Systems 17, 2004


Incremental Learning for Visual Tracking
Jongwoo Lim, David A. Ross, Ruei-sung Lin and Ming-hsuan Yang
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Eigensolver for Transition Matrices in Spectral Methods
Chakra Chennubhotla and Allan D. Jepson
Advances in Neural Information Processing Systems 17, 2004


Making Latin Manuscripts Searchable using gHMM's
Jaety Edwards, Yee W. Teh, Roger Bock, Michael Maire, Grace Vesom and David A. Forsyth
Advances in Neural Information Processing Systems 17, 2004


Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Rätsch and Manfred K. Warmuth
Advances in Neural Information Processing Systems 17, 2004


Common-Frame Model for Object Recognition
Pierre Moreels and Pietro Perona
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Learning on Directed Graphs
Dengyong Zhou, Thomas Hofmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Pictorial Structures for Molecular Modeling: Interpreting Density Maps
Frank Dimaio, George Phillips and Jude W. Shavlik
Advances in Neural Information Processing Systems 17, 2004


Maximising Sensitivity in a Spiking Network
Anthony J. Bell and Lucas C. Parra
Advances in Neural Information Processing Systems 17, 2004


On the Adaptive Properties of Decision Trees
Clayton Scott and Robert Nowak
Advances in Neural Information Processing Systems 17, 2004


Economic Properties of Social Networks
Sham M. Kakade, Michael Kearns, Luis E. Ortiz, Robin Pemantle and Siddharth Suri
Advances in Neural Information Processing Systems 17, 2004


Conditional Models of Identity Uncertainty with Application to Noun Coreference
Andrew Mccallum and Ben Wellner
Advances in Neural Information Processing Systems 17, 2004


On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks
Miguel Figueroa, Seth Bridges and Chris Diorio
Advances in Neural Information Processing Systems 17, 2004


Probabilistic Inference of Alternative Splicing Events in Microarray Data
Ofer Shai, Brendan J. Frey, Quaid D. Morris, Qun Pan, Christine Misquitta and Benjamin J. Blencowe
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Learning by Entropy Minimization
Yves Grandvalet and Yoshua Bengio
Advances in Neural Information Processing Systems 17, 2004


Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity
Marcelo A. Montemurro and Stefano Panzeri
Advances in Neural Information Processing Systems 17, 2004


Analysis of a greedy active learning strategy
Sanjoy Dasgupta
Advances in Neural Information Processing Systems 17, 2004


Parametric Embedding for Class Visualization
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 17, 2004


Mass Meta-analysis in Talairach Space
Finn \. Nielsen
Advances in Neural Information Processing Systems 17, 2004


A Harmonic Excitation State-Space Approach to Blind Separation of Speech
Rasmus K. Olsson and Lars K. Hansen
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Distributed Representations for Statistical Language Modeling
John Blitzer, Fernando Pereira, Kilian Q. Weinberger and Lawrence K. Saul
Advances in Neural Information Processing Systems 17, 2004


An Auditory Paradigm for Brain-Computer Interfaces
N. J. Hill, Thomas N. Lal, Karin Bierig, Niels Birbaumer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Instance-Based Relevance Feedback for Image Retrieval
Giorgio Gia\-cin\-to and Fabio Roli
Advances in Neural Information Processing Systems 17, 2004


A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Le Lu, Gregory D. Hager and Laurent Younes
Advances in Neural Information Processing Systems 17, 2004


Instance-Specific Bayesian Model Averaging for Classification
Shyam Visweswaran and Gregory F. Cooper
Advances in Neural Information Processing Systems 17, 2004


Using Random Forests in the Structured Language Model
Peng Xu and Frederick Jelinek
Advances in Neural Information Processing Systems 17, 2004


Supervised Graph Inference
Jean-philippe Vert and Yoshihiro Yamanishi
Advances in Neural Information Processing Systems 17, 2004


Discrete profile alignment via constrained information bottleneck
Sean O'rourke, Gal Chechik, Robin Friedman and Eleazar Eskin
Advances in Neural Information Processing Systems 17, 2004


Newscast EM
Wojtek Kowalczyk and Nikos A. Vlassis
Advances in Neural Information Processing Systems 17, 2004


Boosting on Manifolds: Adaptive Regularization of Base Classifiers
Ligen Wang and Balázs Kégl
Advances in Neural Information Processing Systems 17, 2004


Variational Minimax Estimation of Discrete Distributions under KL Loss
Liam Paninski
Advances in Neural Information Processing Systems 17, 2004


Kernel Methods for Implicit Surface Modeling
Joachim Giesen, Simon Spalinger and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Methods Towards Invasive Human Brain Computer Interfaces
Thomas N. Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. J. Hill, Wolfgang Rosenstiel, Christian E. Elger, Niels Birbaumer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound
Dori Peleg and Ron Meir
Advances in Neural Information Processing Systems 17, 2004


Efficient Kernel Machines Using the Improved Fast Gauss Transform
Changjiang Yang, Ramani Duraiswami and Larry S. Davis
Advances in Neural Information Processing Systems 17, 2004


Active Learning for Anomaly and Rare-Category Detection
Dan Pelleg and Andrew W. Moore
Advances in Neural Information Processing Systems 17, 2004


Face Detection --- Efficient and Rank Deficient
Wolf Kienzle, Matthias O. Franz, Bernhard Schölkopf and Gökhan H. Bakir
Advances in Neural Information Processing Systems 17, 2004


The power of feature clustering: An application to object detection
Shai Avidan and Moshe Butman
Advances in Neural Information Processing Systems 17, 2004


Semi-Markov Conditional Random Fields for Information Extraction
Sunita Sarawagi and William W. Cohen
Advances in Neural Information Processing Systems 17, 2004


Multiple Alignment of Continuous Time Series
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis and Andrew Emili
Advances in Neural Information Processing Systems 17, 2004


New Criteria and a New Algorithm for Learning in Multi-Agent Systems
Rob Powers and Yoav Shoham
Advances in Neural Information Processing Systems 17, 2004


Stable adaptive control with online learning
H. J. Kim and Andrew Y. Ng
Advances in Neural Information Processing Systems 17, 2004


Bayesian inference in spiking neurons
Sophie Deneve
Advances in Neural Information Processing Systems 17, 2004


Co-Training and Expansion: Towards Bridging Theory and Practice
Maria-florina Balcan, Avrim Blum and Ke Yang
Advances in Neural Information Processing Systems 17, 2004


Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices
Nathan Srebro, Noga Alon and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


Breaking SVM Complexity with Cross-Training
Léon Bottou, Jason Weston and Gökhan H. Bakir
Advances in Neural Information Processing Systems 17, 2004


At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks
Nils Bertschinger, Thomas Natschläger and Robert A. Legenstein
Advances in Neural Information Processing Systems 17, 2004


A Hidden Markov Model for de Novo Peptide Sequencing
Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer and Joachim M. Buhmann
Advances in Neural Information Processing Systems 17, 2004


Efficient Out-of-Sample Extension of Dominant-Set Clusters
Massimiliano Pavan and Marcello Pelillo
Advances in Neural Information Processing Systems 17, 2004


An Application of Boosting to Graph Classification
Taku Kudo, Eisaku Maeda and Yuji Matsumoto
Advances in Neural Information Processing Systems 17, 2004


Learning Preferences for Multiclass Problems
Fabio Aiolli and Alessandro Sperduti
Advances in Neural Information Processing Systems 17, 2004


Using the Equivalent Kernel to Understand Gaussian Process Regression
Peter Sollich and Christopher Williams
Advances in Neural Information Processing Systems 17, 2004


The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
Robert Jenssen, Deniz Erdogmus, Jose Principe and Torbjørn Eltoft
Advances in Neural Information Processing Systems 17, 2004


Implicit Wiener Series for Higher-Order Image Analysis
Matthias O. Franz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 17, 2004


Sampling Methods for Unsupervised Learning
Rob Fergus, Andrew Zisserman and Pietro Perona
Advances in Neural Information Processing Systems 17, 2004


Following Curved Regularized Optimization Solution Paths
Saharon Rosset
Advances in Neural Information Processing Systems 17, 2004


The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning
Constanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer and Paul F. Verschure
Advances in Neural Information Processing Systems 17, 2004


A Generalized Bradley-Terry Model: From Group Competition to Individual Skill
Tzu-kuo Huang, Chih-jen Lin and Ruby C. Weng
Advances in Neural Information Processing Systems 17, 2004


The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data
Oliver Williams, Andrew Blake and Roberto Cipolla
Advances in Neural Information Processing Systems 17, 2004


Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani and John D. Lafferty
Advances in Neural Information Processing Systems 17, 2004


Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Liam Paninski
Advances in Neural Information Processing Systems 17, 2004


Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization
Fei Sha and Lawrence K. Saul
Advances in Neural Information Processing Systems 17, 2004


Unsupervised Variational Bayesian Learning of Nonlinear Models
Antti Honkela and Harri Valpola
Advances in Neural Information Processing Systems 17, 2004


Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
Wolfgang Maass, Robert A. Legenstein and Nils Bertschinger
Advances in Neural Information Processing Systems 17, 2004


Object Classification from a Single Example Utilizing Class Relevance Metrics
Michael Fink
Advances in Neural Information Processing Systems 17, 2004


Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
Nicolò Cesa-bianchi, Claudio Gentile and Luca Zaniboni
Advances in Neural Information Processing Systems 17, 2004


Mistake Bounds for Maximum Entropy Discrimination
Philip M. Long and Xinyu Wu
Advances in Neural Information Processing Systems 17, 2004


Outlier Detection with One-class Kernel Fisher Discriminants
Volker Roth
Advances in Neural Information Processing Systems 17, 2004


Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM
Juan Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde and Carlos Sañudo
Advances in Neural Information Processing Systems 17, 2004


Surface Reconstruction using Learned Shape Models
Jan E. Solem and Fredrik Kahl
Advances in Neural Information Processing Systems 17, 2004


Heuristics for Ordering Cue Search in Decision Making
Peter M. Todd and Anja Dieckmann
Advances in Neural Information Processing Systems 17, 2004


Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Felix Schürmann, Karlheinz Meier and Johannes Schemmel
Advances in Neural Information Processing Systems 17, 2004


Large-Scale Prediction of Disulphide Bond Connectivity
Jianlin Cheng, Alessandro Vullo and Pierre F. Baldi
Advances in Neural Information Processing Systems 17, 2004


Limits of Spectral Clustering
Ulrike V. Luxburg, Olivier Bousquet and Mikhail Belkin
Advances in Neural Information Processing Systems 17, 2004


The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Ofer Dekel, Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 17, 2004


Linear Multilayer Independent Component Analysis for Large Natural Scenes
Yoshitatsu Matsuda and Kazunori Yamaguchi
Advances in Neural Information Processing Systems 17, 2004


Harmonising Chorales by Probabilistic Inference
Moray Allan and Christopher Williams
Advances in Neural Information Processing Systems 17, 2004


A Second Order Cone programming Formulation for Classifying Missing Data
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy and Alex J. Smola
Advances in Neural Information Processing Systems 17, 2004


The Convergence of Contrastive Divergences
Alan L. Yuille
Advances in Neural Information Processing Systems 17, 2004


The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters
Alan L. Yuille
Advances in Neural Information Processing Systems 17, 2004


Convergence and No-Regret in Multiagent Learning
Michael Bowling
Advances in Neural Information Processing Systems 17, 2004


Semi-supervised Learning via Gaussian Processes
Neil D. Lawrence and Michael I. Jordan
Advances in Neural Information Processing Systems 17, 2004


A Topographic Support Vector Machine: Classification Using Local Label Configurations
Johannes Mohr and Klaus Obermayer
Advances in Neural Information Processing Systems 17, 2004


Neural Network Computation by In Vitro Transcriptional Circuits
Jongmin Kim, John Hopfield and Erik Winfree
Advances in Neural Information Processing Systems 17, 2004


Spike Sorting: Bayesian Clustering of Non-Stationary Data
Aharon Bar-hillel, Adam Spiro and Eran Stark
Advances in Neural Information Processing Systems 17, 2004


Maximal Margin Labeling for Multi-Topic Text Categorization
Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira and Eisaku Maeda
Advances in Neural Information Processing Systems 17, 2004


Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity
Sander M. Bohte and Michael C. Mozer
Advances in Neural Information Processing Systems 17, 2004


A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
Jian Zhang, Zoubin Ghahramani and Yiming Yang
Advances in Neural Information Processing Systems 17, 2004


Learning Hyper-Features for Visual Identification
Andras D. Ferencz, Erik G. Learned-miller and Jitendra Malik
Advances in Neural Information Processing Systems 17, 2004


Synchronization of neural networks by mutual learning and its application to cryptography
Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor and Wolfgang Kinzel
Advances in Neural Information Processing Systems 17, 2004


Dependent Gaussian Processes
Phillip Boyle and Marcus Frean
Advances in Neural Information Processing Systems 17, 2004


Efficient Kernel Discriminant Analysis via QR Decomposition
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan and Vladimir Cherkassky
Advances in Neural Information Processing Systems 17, 2004


Two-Dimensional Linear Discriminant Analysis
Jieping Ye, Ravi Janardan and Qi Li
Advances in Neural Information Processing Systems 17, 2004


On Semi-Supervised Classification
Balaji Krishnapuram, David Williams, Ya Xue, Lawrence Carin, Mário Figueiredo and Alexander J. Hartemink
Advances in Neural Information Processing Systems 17, 2004


Confidence Intervals for the Area Under the ROC Curve
Corinna Cortes and Mehryar Mohri
Advances in Neural Information Processing Systems 17, 2004


Discriminant Saliency for Visual Recognition from Cluttered Scenes
Dashan Gao and Nuno Vasconcelos
Advances in Neural Information Processing Systems 17, 2004


Support Vector Classification with Input Data Uncertainty
Jinbo Bi and Tong Zhang
Advances in Neural Information Processing Systems 17, 2004


Result Analysis of the NIPS 2003 Feature Selection Challenge
Isabelle Guyon, Steve Gunn, Asa Ben-hur and Gideon Dror
Advances in Neural Information Processing Systems 17, 2004


Parallel Support Vector Machines: The Cascade SVM
Hans P. Graf, Eric Cosatto, Léon Bottou, Igor Dourdanovic and Vladimir Vapnik
Advances in Neural Information Processing Systems 17, 2004


An Investigation of Practical Approximate Nearest Neighbor Algorithms
Ting Liu, Andrew W. Moore, Ke Yang and Alexander G. Gray
Advances in Neural Information Processing Systems 17, 2004


Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
Tobias Blaschke and Laurenz Wiskott
Advances in Neural Information Processing Systems 17, 2004


Fast Rates to Bayes for Kernel Machines
Ingo Steinwart and Clint Scovel
Advances in Neural Information Processing Systems 17, 2004


Density Level Detection is Classification
Ingo Steinwart, Don Hush and Clint Scovel
Advances in Neural Information Processing Systems 17, 2004


Semi-parametric Exponential Family PCA
Sajama Sajama and Alon Orlitsky
Advances in Neural Information Processing Systems 17, 2004


Generative Affine Localisation and Tracking
John Winn and Andrew Blake
Advances in Neural Information Processing Systems 17, 2004


A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia and Yoram Singer
Advances in Neural Information Processing Systems 17, 2004


PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
Mario Marchand and Mohak Shah
Advances in Neural Information Processing Systems 17, 2004


Resolving Perceptual Aliasing In The Presence Of Noisy Sensors
Guy Shani and Ronen I. Brafman
Advances in Neural Information Processing Systems 17, 2004


Incremental Algorithms for Hierarchical Classification
Nicolò Cesa-bianchi, Claudio Gentile, Andrea Tironi and Luca Zaniboni
Advances in Neural Information Processing Systems 17, 2004


Neighbourhood Components Analysis
Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 17, 2004


Algebraic Set Kernels with Application to Inference Over Local Image Representations
Amnon Shashua and Tamir Hazan
Advances in Neural Information Processing Systems 17, 2004


On the Importance of Small Coordinate Projections
Shahar Mendelson and Petra Philips
Journal of Machine Learning Research, 2004


The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Shie Mannor and John N. Tsitsiklis
Journal of Machine Learning Research, 2004


A Geometric Approach to Multi-Criterion Reinforcement Learning
Shie Mannor and Nahum Shimkin
Journal of Machine Learning Research, 2004


Knowledge-Based Kernel Approximation
Olvi L. Mangasarian, Jude W. Shavlik and Edward W. Wild
Journal of Machine Learning Research, 2004


A Compression Approach to Support Vector Model Selection
Ulrike V. Luxburg, Olivier Bousquet and Bernhard Schölkopf
Journal of Machine Learning Research, 2004


Distance-Based Classification with Lipschitz Functions
Ulrike V. Luxburg and Olivier Bousquet
Journal of Machine Learning Research, 2004


RCV1: A New Benchmark Collection for Text Categorization Research
David D. Lewis, Yiming Yang, Tony G. Rose and Fan Li
Journal of Machine Learning Research, 2004


Fast String Kernels using Inexact Matching for Protein Sequences
Christina S. Leslie and Rui Kuang
Journal of Machine Learning Research, 2004


Lossless Online Bayesian Bagging
Herbert Lee and Merlise A. Clyde
Journal of Machine Learning Research, 2004


Subgroup Discovery with CN2-SD
Nada Lavrac, Branko Kavsek, Peter A. Flach and Ljupco Todorovski
Journal of Machine Learning Research, 2004


Feature Discovery in Non-Metric Pairwise Data
Julian Laub and Klaus-robert Müller
Journal of Machine Learning Research, 2004


Computable Shell Decomposition Bounds
John Langford and David A. Mcallester
Journal of Machine Learning Research, 2004


Learning the Kernel Matrix with Semidefinite Programming
Gert Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent E. Ghaoui and Michael I. Jordan
Journal of Machine Learning Research, 2004


Exact Bayesian Structure Discovery in Bayesian Networks
Mikko Koivisto and Kismat Sood
Journal of Machine Learning Research, 2004


Sources of Success for Boosted Wrapper Induction
David Kauchak, Joseph Smarr and Charles Elkan
Journal of Machine Learning Research, 2004


Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
Matti Kääriäinen, Tuomo Malinen and Tapio Elomaa
Journal of Machine Learning Research, 2004


Probability Product Kernels
Tony Jebara, Risi Kondor and Andrew Howard
Journal of Machine Learning Research, 2004


The Minimum Error Minimax Probability Machine
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu and Laiwan Chan
Journal of Machine Learning Research, 2004


Non-negative Matrix Factorization with Sparseness Constraints
Patrik O. Hoyer
Journal of Machine Learning Research, 2004


Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters
Isao Higuchi and Shinto Eguchi
Journal of Machine Learning Research, 2004


The Entire Regularization Path for the Support Vector Machine
Trevor Hastie, Saharon Rosset, Robert Tibshirani and Ji Zhu
Journal of Machine Learning Research, 2004


Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Evan Greensmith, Peter L. Bartlett and Jonathan Baxter
Journal of Machine Learning Research, 2004


New Techniques for Disambiguation in Natural Language and Their Application to Biological Text
Filip Ginter, Jorma Boberg, Jouni Järvinen and Tapio Salakoski
Journal of Machine Learning Research, 2004


Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2004


Fast Binary Feature Selection with Conditional Mutual Information
Françcois Fleuret
Journal of Machine Learning Research, 2004


Feature Selection for Unsupervised Learning
Jennifer G. Dy and Carla E. Brodley
Journal of Machine Learning Research, 2004


Model Averaging for Prediction with Discrete Bayesian Networks
Denver Dash and Gregory F. Cooper
Journal of Machine Learning Research, 2004


Rational Kernels: Theory and Algorithms
Corinna Cortes, Patrick Haffner and Mehryar Mohri
Journal of Machine Learning Research, 2004


PAC-learnability of Probabilistic Deterministic Finite State Automata
Alexander Clark and Franck Thollard
Journal of Machine Learning Research, 2004


On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
Andreas Christmann and Ingo Steinwart
Journal of Machine Learning Research, 2004


Large-Sample Learning of Bayesian Networks is NP-Hard
David M. Chickering, David Heckerman and Christopher Meek
Journal of Machine Learning Research, 2004


Support Vector Machine Soft Margin Classifiers: Error Analysis
Di-rong Chen, Qiang Wu, Yiming Ying and Ding-xuan Zhou
Journal of Machine Learning Research, 2004


Image Categorization by Learning and Reasoning with Regions
Yixin Chen and James Z. Wang
Journal of Machine Learning Research, 2004


Learning Ensembles from Bites: A Scalable and Accurate Approach
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer and W. P. Kegelmeyer
Journal of Machine Learning Research, 2004


Preference Elicitation and Query Learning
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm and Martin Zinkevich
Journal of Machine Learning Research, 2004


Second Order Cone Programming Formulations for Feature Selection
Chiranjib Bhattacharyya
Journal of Machine Learning Research, 2004


No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Journal of Machine Learning Research, 2004


Weather Data Mining Using Independent Component Analysis
Jayanta Basak, Anant Sudarshan, Deepak Trivedi and M. S. Santhanam
Journal of Machine Learning Research, 2004


Online Choice of Active Learning Algorithms
Yoram Baram, Ran El-yaniv and Kobi Luz
Journal of Machine Learning Research, 2004


Generalization Error Bounds for Threshold Decision Lists
Martin Anthony
Journal of Machine Learning Research, 2004