| 2004 | A MFoM learning approach to robust multiclass multi-label text categorization. Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua |
| 2004 | A Monte Carlo analysis of ensemble classification. Roberto Esposito, Lorenza Saitta |
| 2004 | A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. Lourdes Peña Castillo, Stefan Wrobel |
| 2004 | A fast iterative algorithm for fisher discriminant using heterogeneous kernels. Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao |
| 2004 | A graphical model for protein secondary structure prediction. Wei Chu, Zoubin Ghahramani, David L. Wild |
| 2004 | A hierarchical method for multi-class support vector machines. Volkan Vural, Jennifer G. Dy |
| 2004 | A kernel view of the dimensionality reduction of manifolds. Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf |
| 2004 | A maximum entropy approach to species distribution modeling. Steven J. Phillips, Miroslav Dudík, Robert E. Schapire |
| 2004 | A multiplicative up-propagation algorithm. Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh |
| 2004 | A needle in a haystack: local one-class optimization. Koby Crammer, Gal Chechik |
| 2004 | A pitfall and solution in multi-class feature selection for text classification. George Forman |
| 2004 | A spatio-temporal extension to Isomap nonlinear dimension reduction. Odest Chadwicke Jenkins, Maja J. Mataric |
| 2004 | A theoretical characterization of linear SVM-based feature selection. Douglas P. Hardin, Ioannis Tsamardinos, Constantin F. Aliferis |
| 2004 | Active learning of label ranking functions. Klaus Brinker |
| 2004 | Active learning using pre-clustering. Hieu Tat Nguyen, Arnold W. M. Smeulders |
| 2004 | Adaptive cognitive orthotics: combining reinforcement learning and constraint-based temporal reasoning. Matthew R. Rudary, Satinder Singh, Martha E. Pollack |
| 2004 | An information theoretic analysis of maximum likelihood mixture estimation for exponential families. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu |
| 2004 | Apprenticeship learning via inverse reinforcement learning. Pieter Abbeel, Andrew Y. Ng |
| 2004 | Approximate inference by Markov chains on union spaces. Max Welling, Michal Rosen-Zvi, Yee Whye Teh |
| 2004 | Authorship verification as a one-class classification problem. Moshe Koppel, Jonathan Schler |
| 2004 | Automated hierarchical mixtures of probabilistic principal component analyzers. Ting Su, Jennifer G. Dy |
| 2004 | Bayesian haplo-type inference via the dirichlet process. Eric P. Xing, Roded Sharan, Michael I. Jordan |
| 2004 | Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. Zhihua Zhang, Dit-Yan Yeung, James T. Kwok |
| 2004 | Bellman goes relational. Kristian Kersting, Martijn van Otterlo, Luc De Raedt |
| 2004 | Bias and variance in value function estimation. Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis |
| 2004 | Boosting grammatical inference with confidence oracles. Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier |
| 2004 | Boosting margin based distance functions for clustering. Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall |
| 2004 | C4.5 competence map: a phase transition-inspired approach. Nicolas Baskiotis, Michèle Sebag |
| 2004 | Co-EM support vector learning. Ulf Brefeld, Tobias Scheffer |
| 2004 | Coalition calculation in a dynamic agent environment. Ted Scully, Michael G. Madden, Gerard Lyons |
| 2004 | Communication complexity as a lower bound for learning in games. Vincent Conitzer, Tuomas Sandholm |
| 2004 | Convergence of synchronous reinforcement learning with linear function approximation. Artur Merke, Ralf Schoknecht |
| 2004 | Decentralized detection and classification using kernel methods. XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2004 | Decision trees with minimal costs. Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang |
| 2004 | Delegating classifiers. César Ferri, Peter A. Flach, José Hernández-Orallo |
| 2004 | Distribution kernels based on moments of counts. Corinna Cortes, Mehryar Mohri |
| 2004 | Diverse ensembles for active learning. Prem Melville, Raymond J. Mooney |
| 2004 | Dynamic abstraction in reinforcement learning via clustering. Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein |
| 2004 | Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum |
| 2004 | Efficient hierarchical MCMC for policy search. Malcolm J. A. Strens |
| 2004 | Ensemble selection from libraries of models. Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes |
| 2004 | Ensembles of nested dichotomies for multi-class problems. Eibe Frank, Stefan Kramer |
| 2004 | Entropy-based criterion in categorical clustering. Tao Li, Sheng Ma, Mitsunori Ogihara |
| 2004 | Estimating replicability of classifier learning experiments. Remco R. Bouckaert |
| 2004 | Extensions of marginalized graph kernels. Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert |
| 2004 | Feature extraction via generalized uncorrelated linear discriminant analysis. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park |
| 2004 | Feature subset selection for learning preferences: a case study. Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache |
| 2004 | Gaussian process classification for segmenting and annotating sequences. Yasemin Altun, Thomas Hofmann, Alexander J. Smola |
| 2004 | Generalized low rank approximations of matrices. Jieping Ye |
| 2004 | Generative modeling for continuous non-linearly embedded visual inference. Cristian Sminchisescu, Allan D. Jepson |
| 2004 | Gradient LASSO for feature selection. Yongdai Kim, Jinseog Kim |
| 2004 | Hyperplane margin classifiers on the multinomial manifold. Guy Lebanon, John D. Lafferty |
| 2004 | Improving SVM accuracy by training on auxiliary data sources. Pengcheng Wu, Thomas G. Dietterich |
| 2004 | Incremental learning of linear model trees. Duncan Potts |
| 2004 | Integrating constraints and metric learning in semi-supervised clustering. Mikhail Bilenko, Sugato Basu, Raymond J. Mooney |
| 2004 | Interpolation-based Q-learning. Csaba Szepesvári, William D. Smart |
| 2004 | Kernel conditional random fields: representation and clique selection. John D. Lafferty, Xiaojin Zhu, Yan Liu |
| 2004 | Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. Hisashi Kashima, Yuta Tsuboi |
| 2004 | Large margin hierarchical classification. Ofer Dekel, Joseph Keshet, Yoram Singer |
| 2004 | Learning Bayesian network classifiers by maximizing conditional likelihood. Daniel Grossman, Pedro M. Domingos |
| 2004 | Learning a kernel matrix for nonlinear dimensionality reduction. Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul |
| 2004 | Learning and discovery of predictive state representations in dynamical systems with reset. Michael R. James, Satinder Singh |
| 2004 | Learning and evaluating classifiers under sample selection bias. Bianca Zadrozny |
| 2004 | Learning associative Markov networks. Benjamin Taskar, Vassil Chatalbashev, Daphne Koller |
| 2004 | Learning first-order rules from data with multiple parts: applications on mining chemical compound data. Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada |
| 2004 | Learning large margin classifiers locally and globally. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | Learning low dimensional predictive representations. Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun |
| 2004 | Learning probabilistic motion models for mobile robots. Austin I. Eliazar, Ronald Parr |
| 2004 | Learning random walk models for inducing word dependency distributions. Kristina Toutanova, Christopher D. Manning, Andrew Y. Ng |
| 2004 | Learning to cluster using local neighborhood structure. Rómer Rosales, Kannan Achan, Brendan J. Frey |
| 2004 | Learning to fly by combining reinforcement learning with behavioural cloning. Eduardo F. Morales, Claude Sammut |
| 2004 | Learning to learn with the informative vector machine. Neil D. Lawrence, John C. Platt |
| 2004 | Learning to track 3D human motion from silhouettes. Ankur Agarwal, Bill Triggs |
| 2004 | Learning with non-positive kernels. Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola |
| 2004 | Leveraging the margin more carefully. Nir Krause, Yoram Singer |
| 2004 | Linearized cluster assignment via spectral ordering. Chris H. Q. Ding, Xiaofeng He |
| 2004 | Links between perceptrons, MLPs and SVMs. Ronan Collobert, Samy Bengio |
| 2004 | Locally linear metric adaptation for semi-supervised clustering. Hong Chang, Dit-Yan Yeung |
| 2004 | Lookahead-based algorithms for anytime induction of decision trees. Saher Esmeir, Shaul Markovitch |
| 2004 | Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004 Carla E. Brodley |
| 2004 | Margin based feature selection - theory and algorithms. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby |
| 2004 | Model selection via the AUC. Saharon Rosset |
| 2004 | Multi-task feature and kernel selection for SVMs. Tony Jebara |
| 2004 | Multiple kernel learning, conic duality, and the SMO algorithm. Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan |
| 2004 | Nonparametric classification with polynomial MPMC cascades. Sander M. Bohté, Markus Breitenbach, Gregory Z. Grudic |
| 2004 | Online and batch learning of pseudo-metrics. Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng |
| 2004 | Online learning of conditionally I.I.D. data. Daniil Ryabko |
| 2004 | Optimising area under the ROC curve using gradient descent. Alan Herschtal, Bhavani Raskutti |
| 2004 | P3VI: a partitioned, prioritized, parallel value iterator. David Wingate, Kevin D. Seppi |
| 2004 | Parameter space exploration with Gaussian process trees. Robert B. Gramacy, Herbert K. H. Lee, William G. Macready |
| 2004 | Predictive automatic relevance determination by expectation propagation. Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani |
| 2004 | Probabilistic score estimation with piecewise logistic regression. Jian Zhang, Yiming Yang |
| 2004 | Probabilistic tangent subspace: a unified view. Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian |
| 2004 | Redundant feature elimination for multi-class problems. Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach |
| 2004 | Relational sequential inference with reliable observations. Alan Fern, Robert Givan |
| 2004 | Robust feature induction for support vector machines. Rong Jin, Huan Liu |
| 2004 | SVM-based generalized multiple-instance learning via approximate box counting. Qingping Tao, Stephen Donald Scott, N. V. Vinodchandran, Thomas Takeo Osugi |
| 2004 | Semi-supervised learning using randomized mincuts. Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy |
| 2004 | Sequential information bottleneck for finite data. Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski |
| 2004 | Sequential skewing: an improved skewing algorithm. Soumya Ray, David Page |
| 2004 | Solving cluster ensemble problems by bipartite graph partitioning. Xiaoli Zhang Fern, Carla E. Brodley |
| 2004 | Solving large scale linear prediction problems using stochastic gradient descent algorithms. Tong Zhang |
| 2004 | Sparse cooperative Q-learning. Jelle R. Kok, Nikos Vlassis |
| 2004 | Support vector machine learning for interdependent and structured output spaces. Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun |
| 2004 | Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. Zhihua Zhang, James T. Kwok, Dit-Yan Yeung |
| 2004 | Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering. Sharlee Climer, Weixiong Zhang |
| 2004 | Testing the significance of attribute interactions. Aleks Jakulin, Ivan Bratko |
| 2004 | Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5. Evgeniy Gabrilovich, Shaul Markovitch |
| 2004 | The Bayesian backfitting relevance vector machine. Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal |
| 2004 | The multiple multiplicative factor model for collaborative filtering. Benjamin M. Marlin, Richard S. Zemel |
| 2004 | Towards tight bounds for rule learning. Ulrich Rückert, Stefan Kramer |
| 2004 | Tractable learning of large Bayes net structures from sparse data. Anna Goldenberg, Andrew W. Moore |
| 2004 | Training conditional random fields via gradient tree boosting. Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov |
| 2004 | Unifying collaborative and content-based filtering. Justin Basilico, Thomas Hofmann |
| 2004 | Using relative novelty to identify useful temporal abstractions in reinforcement learning. Özgür Simsek, Andrew G. Barto |
| 2004 | Utile distinction hidden Markov models. Daan Wierstra, Marco A. Wiering |
| 2004 | Variational methods for the Dirichlet process. David M. Blei, Michael I. Jordan |