ICML 2006: all accepted papers
- The relationship between Precision-Recall and ROC curves ↗Jesse J. Davis, Mark H. Goadrich6,315 citations
- Connectionist temporal classification ↗Alex Graves, Santiago Fernández, Faustino J. Gomez et al.5,355 citations
- An empirical comparison of supervised learning algorithms ↗Rich Caruana, Alexandru Niculescu-Mizil2,705 citations
- Dynamic topic modelsDavid M. Blei, John Lafferty2,386 citations · our summary
- Topic modeling ↗Hanna Wallach1,058 citations
- Cover trees for nearest neighbor ↗Alina Beygelzimer, Sham M. Kakade, John C. Langford813 citations
- R 1 -PCA ↗Chris H. Q. Ding, Ding Xuan Zhou, Xiaofeng He et al.633 citations
- Practical solutions to the problem of diagonal dominance in kernel document clustering ↗Derek Greene, Pádraig Cunningham616 citations
- Pachinko allocation ↗Wei Li, Andrew McCallum609 citations
- Maximum margin planning ↗Nathan Ratliff, James Andrew Bagnell, Martin Zinkevich606 citations
- Fast time series classification using numerosity reduction ↗Xiaopeng Xi, Eamonn Keogh, Christian R. Shelton et al.591 citations
- Probabilistic inference for solving discrete and continuous state Markov Decision Processes ↗Marc Toussaint, Amos Storkey482 citations
- Batch mode active learning and its application to medical image classification ↗Steven C. H. Hoi, Rong Jin, Jianke Zhu et al.421 citations
- PAC model-free reinforcement learning ↗Alexander L. Strehl, Lihong C. Li, Eric Wiewiora et al.384 citations
- Higher order learning with graphs ↗Sameer Agarwal, Kristin M. Branson, Serge Belongie377 citations
- Local Fisher discriminant analysis for supervised dimensionality reduction ↗Masashi Sugiyama370 citations
- Trading convexity for scalability ↗Ronan Collobert, Fabian H. Sinz, Jason Weston et al.353 citations
- Active learning via transductive experimental design ↗Kai Yu, Jinbo Bi, Volker Tresp344 citations
- Nightmare at test time ↗Amir Globerson, Sam T. Roweis309 citations
- Constructing informative priors using transfer learning ↗Rajat Raina, Andrew Ng, Daphne Koller299 citations
- Accelerated training of conditional random fields with stochastic gradient methods ↗S. V. N. Vishwanathan, Nicol Norbert Schraudolph, Mark Schmidt et al.278 citations
- An analytic solution to discrete Bayesian reinforcement learning ↗Pascal Poupart, Nikos A. Vlassis, Jesse Hoey et al.278 citations
- Agnostic active learning ↗Maria-Florina Balcan, Alina Beygelzimer, John C. Langford270 citations
- Reinforcement learning for optimized trade execution ↗Yuriy Nevmyvaka, Yi Feng, Michael J. Kearns261 citations
- Label propagation through linear neighborhoods ↗Fei Wang, Changshui Zhang258 citations
- Spectral clustering for multi-type relational data ↗Bo Long, Zhongfei Mark Zhang, Wu Xiaoyun et al.251 citations
- Algorithms for portfolio management based on the Newton method ↗Amit Agarwal, Elad Hazan, Satyen Kale et al.230 citations
- Local distance preservation in the GP-LVM through back constraints ↗Neil David Lawrence, Joaquin Quiñonero-Candela216 citations
- How boosting the margin can also boost classifier complexity ↗Lev Reyzin, Robert E. Schapire212 citations
- Inference with the Universum ↗Jason Weston, Ronan Collobert, Fabian H. Sinz et al.209 citations
- Using inaccurate models in reinforcement learning ↗Pieter Abbeel, Morgan Quigley, Andrew Ng207 citations
- Autonomous shaping ↗George Konidaris, Andrew G. Barto184 citations
- Learning low-rank kernel matrices ↗Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon184 citations
- Pruning in ordered bagging ensembles ↗Gonzalo Martínez-Muñoz, Alberto Suárez181 citations
- A continuation method for semi-supervised SVMs ↗Olivier Chapelle, Mingmin Chi, Alexander Zien178 citations
- Discriminative cluster analysis ↗Fernando De la Torre, Takeo Kanade A170 citations
- Fast particle smoothing ↗Mike Klaas, Mark Briers, Nando de Freitas et al.163 citations
- Automatic basis function construction for approximate dynamic programming and reinforcement learning ↗Philipp W. Keller, Shie Mannor, Doina Precup157 citations
- Dealing with non-stationary environments using context detection ↗Bruno C. da Silva, Eduardo W. Basso, Ana L. C. Bazzan et al.154 citations
- Efficient co-regularised least squares regression ↗Ulf Brefeld, Thomas Gärtner, Tobias Scheffer et al.154 citations
- Statistical debugging ↗Alice X. Zheng, Michael I. Jordan, Ben Liblit et al.149 citations
- Generalized spectral bounds for sparse LDA ↗B. Moghaddam, Yair Weiss, Shai Avidan147 citations
- Convex optimization techniques for fitting sparse Gaussian graphical models ↗Onureena Banerjee, Laurent El Ghaoui, Alexandre d’Aspremont et al.146 citations
- Optimal kernel selection in Kernel Fisher discriminant analysis ↗Seung-Jean Kim, Alessandro Magnani, Stephen Boyd145 citations
- Hierarchical classification ↗Nicolò Cesa‐Bianchi, Claudio Gentile, Luca Zaniboni143 citations
- Iterative RELIEF for feature weighting ↗Yijun Sun, Jian Li131 citations
- Deterministic annealing for semi-supervised kernel machines ↗Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle127 citations
- MISSL ↗Rouhollah Rahmani, Sally A. Goldman124 citations
- Semi-supervised nonlinear dimensionality reduction ↗Xin Yang, Haoying Fu, Hongyuan Zha et al.122 citations
- Totally corrective boosting algorithms that maximize the margin ↗Manfred K. Warmuth, Jun Liao, Gunnar Rätsch115 citations
- A DC-programming algorithm for kernel selection ↗Andreas Argyriou, Raphael Hauser, Charles A. Micchelli et al.113 citations
- Fast nonparametric clustering with Gaussian blurring mean-shift ↗Miguel Á. Carreira-Perpiñán111 citations
- Feature subset selection bias for classification learning ↗Surendra K. Singhi, Huan Liu108 citations
- Ranking on graph data ↗Shivani Agarwal107 citations
- Quadratic programming relaxations for metric labeling and Markov random field MAP estimation ↗Pradeep Ravikumar, John Lafferty101 citations
- The rate adapting poisson model for information retrieval and object recognition ↗Peter Gehler, Alex D. Holub, Max Welling100 citations
- Learning hierarchical task networks by observation ↗Negin Nejati, Pat Langley, Tolga Könik99 citations
- An intrinsic reward mechanism for efficient exploration ↗Özgür Şimşek, Andrew G. Barto97 citations
- The uniqueness of a good optimum for K-means ↗Marina Meilă97 citations
- Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations ↗Dennis DeCoste96 citations
- Learning a kernel function for classification with small training samples ↗Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall91 citations
- Robust probabilistic projections ↗Cédric Archambeau, Nicolas Delannay, Michel Verleysen91 citations
- Learning the structure of Factored Markov Decision Processes in reinforcement learning problems ↗Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin89 citations
- Full Bayesian network classifiers ↗Jiang Su, Harry Zhang85 citations
- A regularization framework for multiple-instance learning ↗Pak-Ming Cheung, James Tin-Yau Kwok80 citations
- Nonstationary kernel combination ↗Darrin P. Lewis, Tony Jebara, William Stafford Noble77 citations
- Bayesian pattern ranking for move prediction in the game of Go ↗David Stern, Ralf Herbrich, Thore Graepel74 citations
- Clustering graphs by weighted substructure mining ↗Koji Tsuda, Taku Kudo74 citations
- Semi-supervised learning for structured output variables ↗Ulf Brefeld, Tobias Scheffer73 citations
- Combined central and subspace clustering for computer vision applications ↗Le Lü, René Vidal70 citations
- On a theory of learning with similarity functions ↗Maria-Florina Balcan, Avrim L. Blum66 citations
- Null space versus orthogonal linear discriminant analysis ↗Jieping Ye, Tao Xiong65 citations
- Personalized handwriting recognition via biased regularization ↗Wolf Kienzle, Kumar Chellapilla A63 citations
- Efficient lazy elimination for averaged one-dependence estimators ↗Fei Zheng, Geoffrey I. Webb60 citations
- Robust Euclidean embedding ↗Lawrence Cayton, Sanjoy Dasgupta60 citations
- On Bayesian bounds ↗Arindam Banerjee55 citations
- Online multiclass learning by interclass hypothesis sharing ↗Michael Fink, Shai Shalev‐Shwartz, Yoram Singer et al.55 citations
- Multiclass reduced-set support vector machines ↗Benyang Tang, Dominic Mazzoni53 citations
- Multiclass boosting with repartitioning ↗Ling Li52 citations
- Collaborative ordinal regression ↗Shipeng Yu, Kai Yu, Volker Tresp et al.50 citations
- Concept boundary detection for speeding up SVMs ↗Navneet Panda, Edward Y. Chang, Gang Wu50 citations
- Ranking individuals by group comparisons ↗Tzu-Kuo Huang, Chih‐Jen Lin, Ruby C. Weng50 citations
- Kernelizing the output of tree-based methods ↗Pierre Geurts, Louis A. Wehenkel, Florence d’Alché–Buc49 citations
- Data association for topic intensity tracking ↗Andreas Krause, Jure Leskovec, Carlos Guestrin47 citations
- The support vector decomposition machine ↗Francisco Pereira, Geoffrey J. Gordon47 citations
- Fast and space efficient string kernels using suffix arrays ↗Choon Hui Teo, S. V. N. Vishwanathan44 citations
- Feature value acquisition in testing ↗Victor S. Sheng, Charles X. Ling44 citations
- Estimating relatedness via data compression ↗Brendan Juba42 citations
- A choice model with infinitely many latent features ↗Dilan Görür, Frank Jäkel, Carl Edward Rasmussen41 citations
- Discriminative unsupervised learning of structured predictors ↗Linli Xu, Dana F. Wilkinson, Finnegan Southey et al.41 citations
- A duality view of spectral methods for dimensionality reduction ↗Lin Xiao, Jun Sun, Stephen Boyd40 citations
- Experience-efficient learning in associative bandit problems ↗Alexander L. Strehl, Chris Mesterharm, Michael L. Littman et al.38 citations
- Learning predictive state representations using non-blind policies ↗Michael Bowling, Peter McCracken, Michael James et al.38 citations
- Graph model selection using maximum likelihood ↗Ivona Bezáková, Adam Tauman Kalai, Rahul Santhanam37 citations
- Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture ↗Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan et al.36 citations
- Two-dimensional solution path for support vector regression ↗Gang Wang, Dit‐Yan Yeung, Frederick H. Lochovsky36 citations
- Looping suffix tree-based inference of partially observable hidden state ↗Michael P. Holmes, Charles Lee Isbell34 citations
- Fast direct policy evaluation using multiscale analysis of Markov diffusion processes ↗Mauro Maggioni, Sridhar Mahadevan33 citations
- Learning user preferences for sets of objects ↗Marie Ellen Desjardins, Eric Eaton, Kiri L. Wagstaff33 citations
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