| 2006 | A DC-programming algorithm for kernel selection. Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil |
| 2006 | A choice model with infinitely many latent features. Dilan Görür, Frank Jäkel, Carl Edward Rasmussen |
| 2006 | A continuation method for semi-supervised SVMs. Olivier Chapelle, Mingmin Chi, Alexander Zien |
| 2006 | A duality view of spectral methods for dimensionality reduction. Lin Xiao, Jun Sun, Stephen P. Boyd |
| 2006 | A graphical model for predicting protein molecular function. Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner |
| 2006 | A new approach to data driven clustering. Arik Azran, Zoubin Ghahramani |
| 2006 | A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference. Yang Ge, Wenxin Jiang |
| 2006 | A probabilistic model for text kernels. Alain D. Lehmann, John Shawe-Taylor |
| 2006 | A regularization framework for multiple-instance learning. Pak-Ming Cheung, James T. Kwok |
| 2006 | A statistical approach to rule learning. Ulrich Rückert, Stefan Kramer |
| 2006 | Accelerated training of conditional random fields with stochastic gradient methods. S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy |
| 2006 | Active learning via transductive experimental design. Kai Yu, Jinbo Bi, Volker Tresp |
| 2006 | Active sampling for detecting irrelevant features. Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani |
| 2006 | Agnostic active learning. Maria-Florina Balcan, Alina Beygelzimer, John Langford |
| 2006 | Algorithms for portfolio management based on the Newton method. Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. Schapire |
| 2006 | An analysis of graph cut size for transductive learning. Steve Hanneke |
| 2006 | An analytic solution to discrete Bayesian reinforcement learning. Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan |
| 2006 | An empirical comparison of supervised learning algorithms. Rich Caruana, Alexandru Niculescu-Mizil |
| 2006 | An intrinsic reward mechanism for efficient exploration. Özgür Simsek, Andrew G. Barto |
| 2006 | An investigation of computational and informational limits in Gaussian mixture clustering. Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis |
| 2006 | Automatic basis function construction for approximate dynamic programming and reinforcement learning. Philipp W. Keller, Shie Mannor, Doina Precup |
| 2006 | Autonomous shaping: knowledge transfer in reinforcement learning. George Dimitri Konidaris, Andrew G. Barto |
| 2006 | Batch mode active learning and its application to medical image classification. Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu |
| 2006 | Bayesian learning of measurement and structural models. Ricardo Bezerra de Andrade e Silva, Richard Scheines |
| 2006 | Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh |
| 2006 | Bayesian pattern ranking for move prediction in the game of Go. David H. Stern, Ralf Herbrich, Thore Graepel |
| 2006 | Bayesian regression with input noise for high dimensional data. Jo-Anne Ting, Aaron D'Souza, Stefan Schaal |
| 2006 | Block-quantized kernel matrix for fast spectral embedding. Kai Zhang, James T. Kwok |
| 2006 | CN = CPCN. Liva Ralaivola, François Denis, Christophe Nicolas Magnan |
| 2006 | Categorization in multiple category systems. Jean-Michel Renders, Éric Gaussier, Cyril Goutte, François Pacull, Gabriela Csurka |
| 2006 | Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. Le Song, Julien Epps |
| 2006 | Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution. Charles Elkan |
| 2006 | Clustering graphs by weighted substructure mining. Koji Tsuda, Taku Kudo |
| 2006 | Collaborative ordinal regression. Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel |
| 2006 | Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. Dennis DeCoste |
| 2006 | Combined central and subspace clustering for computer vision applications. Le Lu, René Vidal |
| 2006 | Combining discriminative features to infer complex trajectories. David A. Ross, Simon Osindero, Richard S. Zemel |
| 2006 | Concept boundary detection for speeding up SVMs. Navneet Panda, Edward Y. Chang, Gang Wu |
| 2006 | Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber |
| 2006 | Constructing informative priors using transfer learning. Rajat Raina, Andrew Y. Ng, Daphne Koller |
| 2006 | Convex optimization techniques for fitting sparse Gaussian graphical models. Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis |
| 2006 | Cost-sensitive learning with conditional Markov networks. Prithviraj Sen, Lise Getoor |
| 2006 | Cover trees for nearest neighbor. Alina Beygelzimer, Sham M. Kakade, John Langford |
| 2006 | Data association for topic intensity tracking. Andreas Krause, Jure Leskovec, Carlos Guestrin |
| 2006 | Dealing with non-stationary environments using context detection. Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel |
| 2006 | Deterministic annealing for semi-supervised kernel machines. Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle |
| 2006 | Discriminative cluster analysis. Fernando De la Torre, Takeo Kanade |
| 2006 | Discriminative unsupervised learning of structured predictors. Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans |
| 2006 | Dynamic topic models. David M. Blei, John D. Lafferty |
| 2006 | Efficient MAP approximation for dense energy functions. Marius Leordeanu, Martial Hebert |
| 2006 | Efficient co-regularised least squares regression. Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel |
| 2006 | Efficient inference on sequence segmentation models. Sunita Sarawagi |
| 2006 | Efficient lazy elimination for averaged one-dependence estimators. Fei Zheng, Geoffrey I. Webb |
| 2006 | Efficient learning of Naive Bayes classifiers under class-conditional classification noise. François Denis, Christophe Nicolas Magnan, Liva Ralaivola |
| 2006 | Estimating relatedness via data compression. Brendan Juba |
| 2006 | Experience-efficient learning in associative bandit problems. Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh |
| 2006 | Fast and space efficient string kernels using suffix arrays. Choon Hui Teo, S. V. N. Vishwanathan |
| 2006 | Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. Mauro Maggioni, Sridhar Mahadevan |
| 2006 | Fast nonparametric clustering with Gaussian blurring mean-shift. Miguel Á. Carreira-Perpiñán |
| 2006 | Fast particle smoothing: if I had a million particles. Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang |
| 2006 | Fast time series classification using numerosity reduction. Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana |
| 2006 | Fast transpose methods for kernel learning on sparse data. Patrick Haffner |
| 2006 | Feature subset selection bias for classification learning. Surendra K. Singhi, Huan Liu |
| 2006 | Feature value acquisition in testing: a sequential batch test algorithm. Victor S. Sheng, Charles X. Ling |
| 2006 | Full Bayesian network classifiers. Jiang Su, Harry Zhang |
| 2006 | Generalized spectral bounds for sparse LDA. Baback Moghaddam, Yair Weiss, Shai Avidan |
| 2006 | Graph model selection using maximum likelihood. Ivona Bezáková, Adam Kalai, Rahul Santhanam |
| 2006 | Hidden process models. Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi |
| 2006 | Hierarchical classification: combining Bayes with SVM. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni |
| 2006 | Higher order learning with graphs. Sameer Agarwal, Kristin Branson, Serge J. Belongie |
| 2006 | How boosting the margin can also boost classifier complexity. Lev Reyzin, Robert E. Schapire |
| 2006 | Inference with the Universum. Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik |
| 2006 | Iterative RELIEF for feature weighting. Yijun Sun, Jian Li |
| 2006 | Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems. David Wingate, Satinder Singh |
| 2006 | Kernel information embeddings. Roland Memisevic |
| 2006 | Kernelizing the output of tree-based methods. Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc |
| 2006 | Label propagation through linear neighborhoods. Fei Wang, Changshui Zhang |
| 2006 | Learning a kernel function for classification with small training samples. Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall |
| 2006 | Learning algorithms for online principal-agent problems (and selling goods online). Vincent Conitzer, Nikesh Garera |
| 2006 | Learning hierarchical task networks by observation. Negin Nejati, Pat Langley, Tolga Könik |
| 2006 | Learning high-order MRF priors of color images. Julian J. McAuley, Tibério S. Caetano, Alexander J. Smola, Matthias O. Franz |
| 2006 | Learning low-rank kernel matrices. Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon |
| 2006 | Learning predictive state representations using non-blind policies. Michael H. Bowling, Peter McCracken, Michael James, James Neufeld, Dana F. Wilkinson |
| 2006 | Learning the structure of Factored Markov Decision Processes in reinforcement learning problems. Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin |
| 2006 | Learning to impersonate. Moni Naor, Guy N. Rothblum |
| 2006 | Learning user preferences for sets of objects. Marie desJardins, Eric Eaton, Kiri Wagstaff |
| 2006 | Local Fisher discriminant analysis for supervised dimensionality reduction. Masashi Sugiyama |
| 2006 | Local distance preservation in the GP-LVM through back constraints. Neil D. Lawrence, Joaquin Quiñonero Candela |
| 2006 | Locally adaptive classification piloted by uncertainty. Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok |
| 2006 | Looping suffix tree-based inference of partially observable hidden state. Michael P. Holmes, Charles Lee Isbell Jr. |
| 2006 | MISSL: multiple-instance semi-supervised learning. Rouhollah Rahmani, Sally A. Goldman |
| 2006 | Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 William W. Cohen, Andrew W. Moore |
| 2006 | Maximum margin planning. Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich |
| 2006 | Multiclass boosting with repartitioning. Ling Li |
| 2006 | Multiclass reduced-set support vector machines. Benyang Tang, Dominic Mazzoni |
| 2006 | Nightmare at test time: robust learning by feature deletion. Amir Globerson, Sam T. Roweis |
| 2006 | Nonstationary kernel combination. Darrin P. Lewis, Tony Jebara, William Stafford Noble |
| 2006 | Null space versus orthogonal linear discriminant analysis. Jieping Ye, Tao Xiong |
| 2006 | On Bayesian bounds. Arindam Banerjee |
| 2006 | On a theory of learning with similarity functions. Maria-Florina Balcan, Avrim Blum |
| 2006 | Online decoding of Markov models under latency constraints. Mukund Narasimhan, Paul A. Viola, Michael Shilman |
| 2006 | Online multiclass learning by interclass hypothesis sharing. Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman |
| 2006 | Optimal kernel selection in Kernel Fisher discriminant analysis. Seung-Jean Kim, Alessandro Magnani, Stephen P. Boyd |
| 2006 | PAC model-free reinforcement learning. Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman |
| 2006 | Pachinko allocation: DAG-structured mixture models of topic correlations. Wei Li, Andrew McCallum |
| 2006 | Pareto optimal linear classification. Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim |
| 2006 | Permutation invariant SVMs. Pannagadatta K. Shivaswamy, Tony Jebara |
| 2006 | Personalized handwriting recognition via biased regularization. Wolf Kienzle, Kumar Chellapilla |
| 2006 | Practical solutions to the problem of diagonal dominance in kernel document clustering. Derek Greene, Padraig Cunningham |
| 2006 | Predictive linear-Gaussian models of controlled stochastic dynamical systems. Matthew R. Rudary, Satinder Singh |
| 2006 | Predictive search distributions. Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle |
| 2006 | Predictive state representations with options. Britton Wolfe, Satinder Singh |
| 2006 | Probabilistic inference for solving discrete and continuous state Markov Decision Processes. Marc Toussaint, Amos J. Storkey |
| 2006 | Pruning in ordered bagging ensembles. Gonzalo Martínez-Muñoz, Alberto Suárez |
| 2006 | Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. Pradeep Ravikumar, John D. Lafferty |
| 2006 | Qualitative reinforcement learning. Arkady Epshteyn, Gerald DeJong |
| 2006 | Ranking individuals by group comparisons. Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng |
| 2006 | Ranking on graph data. Shivani Agarwal |
| 2006 | Region-based value iteration for partially observable Markov decision processes. Hui Li, Xuejun Liao, Lawrence Carin |
| 2006 | Regression with the optimised combination technique. Jochen Garcke |
| 2006 | Reinforcement learning for optimized trade execution. Yuriy Nevmyvaka, Yi Feng, Michael J. Kearns |
| 2006 | Relational temporal difference learning. Nima Asgharbeygi, David J. Stracuzzi, Pat Langley |
| 2006 | Robust Euclidean embedding. Lawrence Cayton, Sanjoy Dasgupta |
| 2006 | Robust probabilistic projections. Cédric Archambeau, Nicolas Delannay, Michel Verleysen |
| 2006 | Semi-supervised learning for structured output variables. Ulf Brefeld, Tobias Scheffer |
| 2006 | Semi-supervised nonlinear dimensionality reduction. Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow |
| 2006 | Sequential update of ADtrees. Josep Roure, Andrew W. Moore |
| 2006 | Simpler knowledge-based support vector machines. Quoc V. Le, Alexander J. Smola, Thomas Gärtner |
| 2006 | Spectral clustering for multi-type relational data. Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2006 | Statistical debugging: simultaneous identification of multiple bugs. Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken |
| 2006 | The rate adapting poisson model for information retrieval and object recognition. Peter V. Gehler, Alex Holub, Max Welling |
| 2006 | The relationship between Precision-Recall and ROC curves. Jesse Davis, Mark H. Goadrich |
| 2006 | The support vector decomposition machine. Francisco Pereira, Geoffrey J. Gordon |
| 2006 | The uniqueness of a good optimum for K-means. Marina Meila |
| 2006 | Topic modeling: beyond bag-of-words. Hanna M. Wallach |
| 2006 | Totally corrective boosting algorithms that maximize the margin. Manfred K. Warmuth, Jun Liao, Gunnar Rätsch |
| 2006 | Trading convexity for scalability. Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou |
| 2006 | Two-dimensional solution path for support vector regression. Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky |
| 2006 | Using inaccurate models in reinforcement learning. Pieter Abbeel, Morgan Quigley, Andrew Y. Ng |
| 2006 | Using query-specific variance estimates to combine Bayesian classifiers. Chi-Hoon Lee, Russell Greiner, Shaojun Wang |