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All publications at Proceedings of the 23th International Conference on Machine Learning (ICML-06)
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Learning user preferences for sets of objects
Marie Desjardins, Eric Eaton and Kiri Wagstaff
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient lazy elimination for averaged one-dependence estimators
Fei Zheng and Geoffrey I. Webb
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Statistical debugging: simultaneous identification of multiple bugs
Alice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik and Alex Aiken
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Block-quantized kernel matrix for fast spectral embedding
Kai Zhang and James T. Kwok
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Collaborative ordinal regression
Shipeng Yu, Kai Yu, Volker Tresp and Hans-peter Kriegel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Active learning via transductive experimental design
Kai Yu, Jinbo Bi and Volker Tresp
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Null space versus orthogonal linear discriminant analysis
Jieping Ye and Tao Xiong
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Semi-supervised nonlinear dimensionality reduction
Xin Yang, Haoying Fu, Hongyuan Zha and Jesse L. Barlow
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Discriminative unsupervised learning of structured predictors
Linli Xu, Dana F. Wilkinson, Finnegan Southey and Dale Schuurmans
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture
Eric P. Xing, Kyung-ah Sohn, Michael I. Jordan and Yee W. Teh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A duality view of spectral methods for dimensionality reduction
Lin Xiao, Jun Sun and Stephen P. Boyd
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast time series classification using numerosity reduction
Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei and Chotirat A. Ratanamahatana
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Predictive state representations with options
Britton Wolfe and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
David Wingate and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Inference with the Universum
Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou and Vladimir Vapnik
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Totally corrective boosting algorithms that maximize the margin
Manfred K. Warmuth, Jun Liao and Gunnar Rätsch
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Label propagation through linear neighborhoods
Fei Wang and Changshui Zhang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Two-dimensional solution path for support vector regression
Gang Wang, Dit-yan Yeung and Frederick H. Lochovsky
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Topic modeling: beyond bag-of-words
Hanna M. Wallach
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Accelerated training of conditional random fields with stochastic gradient methods
Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy and S.v.n. Vishwanathan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Active sampling for detecting irrelevant features
Sriharsha Veeramachaneni, Emanuele Olivetti and Paolo Avesani
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Clustering graphs by weighted substructure mining
Koji Tsuda and Taku Kudo
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Marc Toussaint and Amos J. Storkey
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Discriminative cluster analysis
Fernando Torre and Takeo Kanade
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Bayesian regression with input noise for high dimensional data
Jo-anne Ting, Aaron D'souza and Stefan Schaal
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast and space efficient string kernels using suffix arrays
Choon H. Teo and S.v.n. Vishwanathan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Multiclass reduced-set support vector machines
Benyang Tang and Dominic Mazzoni
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Iterative RELIEF for feature weighting
Yijun Sun and Jian Li
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Local Fisher discriminant analysis for supervised dimensionality reduction
Masashi Sugiyama
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Full Bayesian network classifiers
Jiang Su and Harry Zhang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Experience-efficient learning in associative bandit problems
Alexander L. Strehl, Chris Mesterharm, Michael L. Littman and Haym Hirsh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


PAC model-free reinforcement learning
Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford and Michael L. Littman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Bayesian pattern ranking for move prediction in the game of Go
David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An investigation of computational and informational limits in Gaussian mixture clustering
Nathan Srebro, Gregory Shakhnarovich and Sam T. Roweis
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features
Le Song and Julien Epps
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Feature subset selection bias for classification learning
Surendra K. Singhi and Huan Liu
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Deterministic annealing for semi-supervised kernel machines
Vikas Sindhwani, S. S. Keerthi and Olivier Chapelle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An intrinsic reward mechanism for efficient exploration
Özgür Simsek and Andrew G. Barto
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Bayesian learning of measurement and structural models
Ricardo Silva and Richard Scheines
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Dealing with non-stationary environments using context detection
Bruno Silva, Eduardo W. Basso, Ana Bazzan and Paulo M. Engel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Permutation invariant SVMs
Pannagadatta K. Shivaswamy and Tony Jebara
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Feature value acquisition in testing: a sequential batch test algorithm
Victor S. Sheng and Charles X. Ling
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Cost-sensitive learning with conditional Markov networks
Prithviraj Sen and Lise Getoor
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient inference on sequence segmentation models
Sunita Sarawagi
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Predictive linear-Gaussian models of controlled stochastic dynamical systems
Matthew R. Rudary and Satinder P. Singh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A statistical approach to rule learning
Ulrich Rückert and Stefan Kramer
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Sequential update of ADtrees
Josep Roure and Andrew W. Moore
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Combining discriminative features to infer complex trajectories
David A. Ross, Simon Osindero and Richard S. Zemel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


How boosting the margin can also boost classifier complexity
Lev Reyzin and Robert E. Schapire
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Categorization in multiple category systems
Jean-michel Renders, Éric Gaussier, Cyril Goutte, Françcois Pacull and Gabriela Csurka
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Pradeep D. Ravikumar and John D. Lafferty
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Maximum margin planning
Nathan D. Ratliff, J. A. Bagnell and Martin Zinkevich
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


CN = CPCN
Liva Ralaivola, Françcois Denis and Christophe N. Magnan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Constructing informative priors using transfer learning
Rajat Raina, Andrew Y. Ng and Daphne Koller
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


MISSL: multiple-instance semi-supervised learning
Rouhollah Rahmani and Sally A. Goldman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An analytic solution to discrete Bayesian reinforcement learning
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey and Kevin Regan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The support vector decomposition machine
Francisco Pereira and Geoffrey J. Gordon
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Concept boundary detection for speeding up SVMs
Navneet Panda, Edward Y. Chang and Gang Wu
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Reinforcement learning for optimized trade execution
Yuriy Nevmyvaka, Yi Feng and Michael Kearns
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning hierarchical task networks by observation
Negin Nejati, Pat Langley and Tolga Könik
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Online decoding of Markov models under latency constraints
Mukund Narasimhan, Paul A. Viola and Michael Shilman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning to impersonate
Moni Naor and Guy N. Rothblum
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Generalized spectral bounds for sparse LDA
Baback Moghaddam, Yair Weiss and Shai Avidan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Kernel information embeddings
Roland Memisevic
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The uniqueness of a good optimum for K-means
Marina Meila
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning high-order MRF priors of color images
Julian J. Mcauley, Tibério S. Caetano, Alex J. Smola and Matthias O. Franz
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Pruning in ordered bagging ensembles
Gonzalo Mart\'ınez-muñoz and Alberto Suárez
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Mauro Maggioni and Sridhar Mahadevan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Combined central and subspace clustering for computer vision applications
Le Lu and René Vidal
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Spectral clustering for multi-type relational data
Bo Long, Zhongfei (. Zhang, Xiaoyun Wu and Philip S. Yu
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Pachinko allocation: DAG-structured mixture models of topic correlations
Wei Li and Andrew Mccallum
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Region-based value iteration for partially observable Markov decision processes
Hui Li, Xuejun Liao and Lawrence Carin
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Multiclass boosting with repartitioning
Ling Li
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Nonstationary kernel combination
Darrin P. Lewis, Tony Jebara and William S. Noble
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient MAP approximation for dense energy functions
Marius Leordeanu and Martial Hebert
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A probabilistic model for text kernels
Alain Lehmann and John Shawe-taylor
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Using query-specific variance estimates to combine Bayesian classifiers
Chi-hoon Lee, Russell Greiner and Shaojun Wang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Simpler knowledge-based support vector machines
Quoc V. Le, Alex J. Smola and Thomas Gärtner
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Local distance preservation in the GP-LVM through back constraints
Neil D. Lawrence and Joaquin Q. Candela
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning low-rank kernel matrices
Brian Kulis, Mátyás A. Sustik and Inderjit S. Dhillon
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Data association for topic intensity tracking
Andreas Krause, Jure Leskovec and Carlos Guestrin
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Autonomous shaping: knowledge transfer in reinforcement learning
George Konidaris and Andrew G. Barto
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast particle smoothing: if I had a million particles
Mike Klaas, Mark Briers, Nando D. Freitas, Arnaud Doucet, Simon Maskell and Dustin Lang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Pareto optimal linear classification
Seung-jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd and Johan Lim
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Optimal kernel selection in Kernel Fisher discriminant analysis
Seung-jean Kim, Alessandro Magnani and Stephen P. Boyd
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Personalized handwriting recognition via biased regularization
Wolf Kienzle and Kumar Chellapilla
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Automatic basis function construction for approximate dynamic programming and reinforcement learning
Philipp W. Keller, Shie Mannor and Doina Precup
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Estimating relatedness via data compression
Brendan Juba
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Hidden process models
Rebecca A. Hutchinson, Tom M. Mitchell and Indrayana Rustandi
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Ranking individuals by group comparisons
Tzu-kuo Huang, Chih-jen Lin and Ruby C. Weng
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Looping suffix tree-based inference of partially observable hidden state
Michael P. Holmes and Charles Jr.
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Batch mode active learning and its application to medical image classification
Steven Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning a kernel function for classification with small training samples
Tomer Hertz, Aharon Bar-hillel and Daphna Weinshall
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An analysis of graph cut size for transductive learning
Steve Hanneke
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast transpose methods for kernel learning on sparse data
Patrick Haffner
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Practical solutions to the problem of diagonal dominance in kernel document clustering
Derek Greene and Padraig Cunningham
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino J. Gomez and Jürgen Schmidhuber
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A choice model with infinitely many latent features
Dilan Görür, Frank Jäkel and Carl E. Rasmussen
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Nightmare at test time: robust learning by feature deletion
Amir Globerson and Sam T. Roweis
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Kernelizing the output of tree-based methods
Pierre Geurts, Louis Wehenkel and Florence D'alché-buc
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The rate adapting poisson model for information retrieval and object recognition
Peter V. Gehler, Alex Holub and Max Welling
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference
Yang Ge and Wenxin Jiang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Regression with the optimised combination technique
Jochen Garcke
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Online multiclass learning by interclass hypothesis sharing
Michael Fink, Shai Shalev-shwartz, Yoram Singer and Shimon Ullman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Qualitative reinforcement learning
Arkady Epshteyn and Gerald Dejong
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A graphical model for predicting protein molecular function
Barbara E. Engelhardt, Michael I. Jordan and Steven E. Brenner
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
Charles Elkan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


{\it R}$_{\mbox{1}}$-PCA: rotational invariant {\it L}$_{\mbox{1}}$-norm principal component analysis for robust subspace factorization
Chris Ding, Ding Zhou, Xiaofeng He and Hongyuan Zha
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient learning of Naive Bayes classifiers under class-conditional classification noise
Françcois Denis, Christophe N. Magnan and Liva Ralaivola
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Thomas Degris, Olivier Sigaud and Pierre-henri Wuillemin
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations
Dennis Decoste
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


The relationship between Precision-Recall and ROC curves
Jesse Davis and Mark Goadrich
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Locally adaptive classification piloted by uncertainty
Juan Dai, Shuicheng Yan, Xiaoou Tang and James T. Kwok
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning algorithms for online principal-agent problems (and selling goods online)
Vincent Conitzer and Nikesh Garera
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Trading convexity for scalability
Ronan Collobert, Fabian H. Sinz, Jason Weston and Léon Bottou
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A regularization framework for multiple-instance learning
Pak-ming Cheung and James T. Kwok
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A continuation method for semi-supervised SVMs
Olivier Chapelle, Mingmin Chi and Alexander Zien
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Hierarchical classification: combining Bayes with SVM
Nicolò Cesa-bianchi, Claudio Gentile and Luca Zaniboni
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Robust Euclidean embedding
Lawrence Cayton and Sanjoy Dasgupta
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


An empirical comparison of supervised learning algorithms
Rich Caruana and Alexandru Niculescu-mizil
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast nonparametric clustering with Gaussian blurring mean-shift
Miguel Á. Carreira-perpiñán
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Semi-supervised learning for structured output variables
Ulf Brefeld and Tobias Scheffer
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient co-regularised least squares regression
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer and Stefan Wrobel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning predictive state representations using non-blind policies
Michael H. Bowling, Peter Mccracken, Michael James, James Neufeld and Dana F. Wilkinson
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Predictive search distributions
Edwin V. Bonilla, Christopher Williams, Felix V. Agakov, John Cavazos, John Thomson and Michael O'boyle
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Dynamic topic models
David M. Blei and John D. Lafferty
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Graph model selection using maximum likelihood
Ivona Bezáková, Adam Kalai and Rahul Santhanam
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Cover trees for nearest neighbor
Alina Beygelzimer, Sham Kakade and John Langford
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Convex optimization techniques for fitting sparse Gaussian graphical models
Onureena Banerjee, Laurent E. Ghaoui, Alexandre D'aspremont and Georges Natsoulis
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


On Bayesian bounds
Arindam Banerjee
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Agnostic active learning
Maria-florina Balcan, Alina Beygelzimer and John Langford
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


On a theory of learning with similarity functions
Maria-florina Balcan and Avrim Blum
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A new approach to data driven clustering
Arik Azran and Zoubin Ghahramani
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Relational temporal difference learning
Nima Asgharbeygi, David J. Stracuzzi and Pat Langley
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A DC-programming algorithm for kernel selection
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli and Massimiliano Pontil
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Robust probabilistic projections
Cédric Archambeau, Nicolas Delannay and Michel Verleysen
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Algorithms for portfolio management based on the Newton method
Amit Agarwal, Elad Hazan, Satyen Kale and Robert E. Schapire
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Higher order learning with graphs
Sameer Agarwal, Kristin Branson and Serge Belongie
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Ranking on graph data
Shivani Agarwal
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Using inaccurate models in reinforcement learning
Pieter Abbeel, Morgan Quigley and Andrew Y. Ng
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006