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| 2005 | A causal approach to hierarchical decomposition of factored MDPs. Anders Jonsson, Andrew G. Barto |
| 2005 | A comparison of tight generalization error bounds. Matti Kääriäinen, John Langford |
| 2005 | A general regression technique for learning transductions. Corinna Cortes, Mehryar Mohri, Jason Weston |
| 2005 | A graphical model for chord progressions embedded in a psychoacoustic space. Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber |
| 2005 | A martingale framework for concept change detection in time-varying data streams. Shen-Shyang Ho |
| 2005 | A model for handling approximate, noisy or incomplete labeling in text classification. Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu Krishnapuram, Pushpak Bhattacharyya |
| 2005 | A new Mallows distance based metric for comparing clusterings. Ding Zhou, Jia Li, Hongyuan Zha |
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| 2005 | A smoothed boosting algorithm using probabilistic output codes. Rong Jin, Jian Zhang |
| 2005 | A support vector method for multivariate performance measures. Thorsten Joachims |
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| 2005 | Active learning for sampling in time-series experiments with application to gene expression analysis. Rohit Singh, Nathan P. Palmer, David K. Gifford, Bonnie Berger, Ziv Bar-Joseph |
| 2005 | Adapting two-class support vector classification methods to many class problems. Simon I. Hill, Arnaud Doucet |
| 2005 | An efficient method for simplifying support vector machines. DucDung Nguyen, Tu Bao Ho |
| 2005 | Analysis and extension of spectral methods for nonlinear dimensionality reduction. Fei Sha, Lawrence K. Saul |
| 2005 | Augmenting naive Bayes for ranking. Harry Zhang, Liangxiao Jiang, Jiang Su |
| 2005 | Bayesian hierarchical clustering. Katherine A. Heller, Zoubin Ghahramani |
| 2005 | Bayesian sparse sampling for on-line reward optimization. Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans |
| 2005 | Beyond the point cloud: from transductive to semi-supervised learning. Vikas Sindhwani, Partha Niyogi, Mikhail Belkin |
| 2005 | Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon |
| 2005 | Building Sparse Large Margin Classifiers. Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir |
| 2005 | Closed-form dual perturb and combine for tree-based models. Pierre Geurts, Louis Wehenkel |
| 2005 | Clustering through ranking on manifolds. Markus Breitenbach, Gregory Z. Grudic |
| 2005 | Coarticulation: an approach for generating concurrent plans in Markov decision processes. Khashayar Rohanimanesh, Sridhar Mahadevan |
| 2005 | Combining model-based and instance-based learning for first order regression. Kurt Driessens, Saso Dzeroski |
| 2005 | Compact approximations to Bayesian predictive distributions. Edward Lloyd Snelson, Zoubin Ghahramani |
| 2005 | Comparing clusterings: an axiomatic view. Marina Meila |
| 2005 | Computational aspects of Bayesian partition models. Mikko Koivisto, Kismat Sood |
| 2005 | Core Vector Regression for very large regression problems. Ivor W. Tsang, James T. Kwok, Kimo T. Lai |
| 2005 | Dirichlet enhanced relational learning. Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel |
| 2005 | Discriminative versus generative parameter and structure learning of Bayesian network classifiers. Franz Pernkopf, Jeff A. Bilmes |
| 2005 | Dynamic preferences in multi-criteria reinforcement learning. Sriraam Natarajan, Prasad Tadepalli |
| 2005 | Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. Yushi Jing, Vladimir Pavlovic, James M. Rehg |
| 2005 | Ensembles of biased classifiers. Rinat Khoussainov, Andreas Heß, Nicholas Kushmerick |
| 2005 | Error bounds for correlation clustering. Thorsten Joachims, John E. Hopcroft |
| 2005 | Error limiting reductions between classification tasks. Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny |
| 2005 | Estimating and computing density based distance metrics. Sajama, Alon Orlitsky |
| 2005 | Evaluating machine learning for information extraction. Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, Dayne Freitag, Nicholas Kushmerick, Alberto Lavelli |
| 2005 | Expectation maximization algorithms for conditional likelihoods. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski |
| 2005 | Experimental comparison between bagging and Monte Carlo ensemble classification. Roberto Esposito, Lorenza Saitta |
| 2005 | Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. Qiang Sun, Gerald DeJong |
| 2005 | Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng |
| 2005 | Exploration and apprenticeship learning in reinforcement learning. Pieter Abbeel, Andrew Y. Ng |
| 2005 | Fast condensed nearest neighbor rule. Fabrizio Angiulli |
| 2005 | Fast inference and learning in large-state-space HMMs. Sajid M. Siddiqi, Andrew W. Moore |
| 2005 | Fast maximum margin matrix factorization for collaborative prediction. Jason D. M. Rennie, Nathan Srebro |
| 2005 | Finite time bounds for sampling based fitted value iteration. Csaba Szepesvári, Rémi Munos |
| 2005 | Generalized LARS as an effective feature selection tool for text classification with SVMs. S. Sathiya Keerthi |
| 2005 | Generalized skewing for functions with continuous and nominal attributes. Soumya Ray, David Page |
| 2005 | Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. Xiaojin Zhu, John D. Lafferty |
| 2005 | Healing the relevance vector machine through augmentation. Carl Edward Rasmussen, Joaquin Quiñonero Candela |
| 2005 | Hedged learning: regret-minimization with learning experts. Yu-Han Chang, Leslie Pack Kaelbling |
| 2005 | Heteroscedastic Gaussian process regression. Quoc V. Le, Alexander J. Smola, Stéphane Canu |
| 2005 | Hierarchic Bayesian models for kernel learning. Mark A. Girolami, Simon Rogers |
| 2005 | Hierarchical Dirichlet model for document classification. Sriharsha Veeramachaneni, Diego Sona, Paolo Avesani |
| 2005 | High speed obstacle avoidance using monocular vision and reinforcement learning. Jeff Michels, Ashutosh Saxena, Andrew Y. Ng |
| 2005 | Identifying useful subgoals in reinforcement learning by local graph partitioning. Özgür Simsek, Alicia P. Wolfe, Andrew G. Barto |
| 2005 | Implicit surface modelling as an eigenvalue problem. Christian Walder, Olivier Chapelle, Bernhard Schölkopf |
| 2005 | Incomplete-data classification using logistic regression. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin |
| 2005 | Independent subspace analysis using geodesic spanning trees. Barnabás Póczos, András Lörincz |
| 2005 | Integer linear programming inference for conditional random fields. Dan Roth, Wen-tau Yih |
| 2005 | Interactive learning of mappings from visual percepts to actions. Sébastien Jodogne, Justus H. Piater |
| 2005 | Intrinsic dimensionality estimation of submanifolds in R Matthias Hein, Jean-Yves Audibert |
| 2005 | Large margin non-linear embedding. Alexander Zien, Joaquin Quiñonero Candela |
| 2005 | Large scale genomic sequence SVM classifiers. Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf |
| 2005 | Learn to weight terms in information retrieval using category information. Rong Jin, Joyce Y. Chai, Luo Si |
| 2005 | Learning Gaussian processes from multiple tasks. Kai Yu, Volker Tresp, Anton Schwaighofer |
| 2005 | Learning approximate preconditions for methods in hierarchical plans. Okhtay Ilghami, Héctor Muñoz-Avila, Dana S. Nau, David W. Aha |
| 2005 | Learning as search optimization: approximate large margin methods for structured prediction. Hal Daumé III, Daniel Marcu |
| 2005 | Learning class-discriminative dynamic Bayesian networks. John Burge, Terran Lane |
| 2005 | Learning discontinuities with products-of-sigmoids for switching between local models. Marc Toussaint, Sethu Vijayakumar |
| 2005 | Learning first-order probabilistic models with combining rules. Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar |
| 2005 | Learning from labeled and unlabeled data on a directed graph. Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf |
| 2005 | Learning hierarchical multi-category text classification models. Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor |
| 2005 | Learning predictive representations from a history. Eric Wiewiora |
| 2005 | Learning predictive state representations in dynamical systems without reset. Britton Wolfe, Michael R. James, Satinder Singh |
| 2005 | Learning strategies for story comprehension: a reinforcement learning approach. Eugene Grois, David C. Wilkins |
| 2005 | Learning structured prediction models: a large margin approach. Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin |
| 2005 | Learning the structure of Markov logic networks. Stanley Kok, Pedro M. Domingos |
| 2005 | Learning to compete, compromise, and cooperate in repeated general-sum games. Jacob W. Crandall, Michael A. Goodrich |
| 2005 | Learning to rank using gradient descent. Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Gregory N. Hullender |
| 2005 | Linear Asymmetric Classifier for cascade detectors. Jianxin Wu, Matthew D. Mullin, James M. Rehg |
| 2005 | Logistic regression with an auxiliary data source. Xuejun Liao, Ya Xue, Lawrence Carin |
| 2005 | Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 Luc De Raedt, Stefan Wrobel |
| 2005 | Modeling word burstiness using the Dirichlet distribution. Rasmus Elsborg Madsen, David Kauchak, Charles Elkan |
| 2005 | Multi-class protein fold recognition using adaptive codes. Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie |
| 2005 | Multi-instance tree learning. Hendrik Blockeel, David Page, Ashwin Srinivasan |
| 2005 | Multi-way distributional clustering via pairwise interactions. Ron Bekkerman, Ran El-Yaniv, Andrew McCallum |
| 2005 | Multimodal oriented discriminant analysis. Fernando De la Torre, Takeo Kanade |
| 2005 | Naive Bayes models for probability estimation. Daniel Lowd, Pedro M. Domingos |
| 2005 | Near-optimal sensor placements in Gaussian processes. Carlos Guestrin, Andreas Krause, Ajit Paul Singh |
| 2005 | New approaches to support vector ordinal regression. Wei Chu, S. Sathiya Keerthi |
| 2005 | New d-separation identification results for learning continuous latent variable models. Ricardo Bezerra de Andrade e Silva, Richard Scheines |
| 2005 | New kernels for protein structural motif discovery and function classification. Chang Wang, Stephen D. Scott |
| 2005 | Non-negative tensor factorization with applications to statistics and computer vision. Amnon Shashua, Tamir Hazan |
| 2005 | Object correspondence as a machine learning problem. Bernhard Schölkopf, Florian Steinke, Volker Blanz |
| 2005 | Online feature selection for pixel classification. Karen A. Glocer, Damian Eads, James Theiler |
| 2005 | Online learning over graphs. Mark Herbster, Massimiliano Pontil, Lisa Wainer |
| 2005 | Optimal assignment kernels for attributed molecular graphs. Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell |
| 2005 | Optimizing abstaining classifiers using ROC analysis. Tadeusz Pietraszek |
| 2005 | PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. François Laviolette, Mario Marchand |
| 2005 | Predicting good probabilities with supervised learning. Alexandru Niculescu-Mizil, Rich Caruana |
| 2005 | Predicting probability distributions for surf height using an ensemble of mixture density networks. Michael Carney, Padraig Cunningham, Jim Dowling, Ciaran Lee |
| 2005 | Predicting protein folds with structural repeats using a chain graph model. Yan Liu, Eric P. Xing, Jaime G. Carbonell |
| 2005 | Predicting relative performance of classifiers from samples. Rui Leite, Pavel Brazdil |
| 2005 | Predictive low-rank decomposition for kernel methods. Francis R. Bach, Michael I. Jordan |
| 2005 | Preference learning with Gaussian processes. Wei Chu, Zoubin Ghahramani |
| 2005 | Propagating distributions on a hypergraph by dual information regularization. Koji Tsuda |
| 2005 | Proto-value functions: developmental reinforcement learning. Sridhar Mahadevan |
| 2005 | Q-learning of sequential attention for visual object recognition from informative local descriptors. Lucas Paletta, Gerald Fritz, Christin Seifert |
| 2005 | ROC confidence bands: an empirical evaluation. Sofus A. Macskassy, Foster J. Provost, Saharon Rosset |
| 2005 | Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM. Sylvain Calinon, Aude Billard |
| 2005 | Recycling data for multi-agent learning. Santiago Ontañón, Enric Plaza |
| 2005 | Reducing overfitting in process model induction. Will Bridewell, Narges Bani Asadi, Pat Langley, Ljupco Todorovski |
| 2005 | Reinforcement learning with Gaussian processes. Yaakov Engel, Shie Mannor, Ron Meir |
| 2005 | Relating reinforcement learning performance to classification performance. John Langford, Bianca Zadrozny |
| 2005 | Robust one-class clustering using hybrid global and local search. Gunjan Gupta, Joydeep Ghosh |
| 2005 | Semi-supervised graph clustering: a kernel approach. Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney |
| 2005 | Statistical and computational analysis of locality preserving projection. Xiaofei He, Deng Cai, Wanli Min |
| 2005 | Supervised clustering with support vector machines. Thomas Finley, Thorsten Joachims |
| 2005 | Supervised dimensionality reduction using mixture models. Sajama, Alon Orlitsky |
| 2005 | Supervised versus multiple instance learning: an empirical comparison. Soumya Ray, Mark Craven |
| 2005 | TD(lambda) networks: temporal-difference networks with eligibility traces. Brian Tanner, Richard S. Sutton |
| 2005 | Tempering for Bayesian C&RT. Nicos Angelopoulos, James Cussens |
| 2005 | The cross entropy method for classification. Shie Mannor, Dori Peleg, Reuven Y. Rubinstein |
| 2005 | Unifying the error-correcting and output-code AdaBoost within the margin framework. Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu |
| 2005 | Unsupervised evidence integration. Philip M. Long, Vinay Varadan, Sarah Gilman, Mark Treshock, Rocco A. Servedio |
| 2005 | Using additive expert ensembles to cope with concept drift. Jeremy Z. Kolter, Marcus A. Maloof |
| 2005 | Variational Bayesian image modelling. Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang |
| 2005 | Weighted decomposition kernels. Sauro Menchetti, Fabrizio Costa, Paolo Frasconi |
| 2005 | Why skewing works: learning difficult Boolean functions with greedy tree learners. Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page |