--- title: "ICML 2006 — all accepted papers, page 2 — the most cited first" description: "All 141 papers of ICML 2006 · page 2 of 2, the most cited first; those with our summary link to it." canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/page/2/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/) / [2006](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/) / [papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/) / page 2 # ICML 2006: all accepted papers 141 papers · page 2 of 2 · the most cited first · [← ICML 2006](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/) [← prev](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/) [1](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/) **2** 101. **[Regression with the optimised combination technique ↗](https://doi.org/10.1145/1143844.1143885)**Jochen Garcke*33 citations* 102. **[Learning high-order MRF priors of color images ↗](https://doi.org/10.1145/1143844.1143922)**Julian McAuley, Tibério S. Caetano, Alex J. Smola et al.*29 citations* 103. **[Simpler knowledge-based support vector machines ↗](https://doi.org/10.1145/1143844.1143910)**Quoc Viet Le, Alex J. Smola, Thomas Gärtner*29 citations* 104. **[An investigation of computational and informational limits in Gaussian mixture clustering ↗](https://doi.org/10.1145/1143844.1143953)**Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis*28 citations* 105. **[Efficient MAP approximation for dense energy functions ↗](https://doi.org/10.1145/1143844.1143913)**Marius Leordeanu, Martial Hebert*26 citations* 106. **[Permutation invariant SVMs ↗](https://doi.org/10.1145/1143844.1143947)**Pannagadatta K. Shivaswamy, Tony Jebara*24 citations* 107. **[Online decoding of Markov models under latency constraints ↗](https://doi.org/10.1145/1143844.1143927)**Mukund Narasimhan, Paul A. Viola, Michael Shilman*23 citations* 108. **[A new approach to data driven clustering ↗](https://doi.org/10.1145/1143844.1143852)**Arik Azran, Zoubin Ghahramani*22 citations* 109. **[A statistical approach to rule learning ↗](https://doi.org/10.1145/1143844.1143943)**Ulrich Rückert, Stefan Krämer*22 citations* 110. **[Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems ↗](https://doi.org/10.1145/1143844.1143972)**David Wingate, Satinder Pal Singh*21 citations* 111. **[Efficient inference on sequence segmentation models ↗](https://doi.org/10.1145/1143844.1143944)**Sunita Sarawagi*20 citations* 112. **[Locally adaptive classification piloted by uncertainty ↗](https://doi.org/10.1145/1143844.1143873)**Juan Dai, Shuicheng Yan, Xiaoou Tang et al.*18 citations* 113. **[Relational temporal difference learning ↗](https://doi.org/10.1145/1143844.1143851)**Nima Asgharbeygi, David John Stracuzzi, Pat Langley*18 citations* 114. **[Learning algorithms for online principal-agent problems (and selling goods online) ↗](https://doi.org/10.1145/1143844.1143871)**Vincent Conitzer, Nikesh Garera*17 citations* 115. **[A graphical model for predicting protein molecular function ↗](https://doi.org/10.1145/1143844.1143882)**Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner*16 citations* 116. **[Combining discriminative features to infer complex trajectories ↗](https://doi.org/10.1145/1143844.1143940)**David A. Ross, Simon Osindero, Richard S. Zemel*16 citations* 117. **[Learning to impersonate ↗](https://doi.org/10.1145/1143844.1143926)**Moni Naor, Guy N. Rothblum*15 citations* 118. **[Using query-specific variance estimates to combine Bayesian classifiers ↗](https://doi.org/10.1145/1143844.1143911)**Chi-Hoon Lee, Russell Greiner, Shaojun Wang*15 citations* 119. **[Block-quantized kernel matrix for fast spectral embedding ↗](https://doi.org/10.1145/1143844.1143982)**Kai Zhang, James Tin-Yau Kwok*14 citations* 120. **[Kernel information embeddings ↗](https://doi.org/10.1145/1143844.1143924)**Roland Memisevic*14 citations* 121. **[Predictive state representations with options ↗](https://doi.org/10.1145/1143844.1143973)**Britton Wolfe, Satinder Pal Singh*14 citations* 122. **[An analysis of graph cut size for transductive learning ↗](https://doi.org/10.1145/1143844.1143894)**Steve Hanneke*13 citations* 123. **[Bayesian regression with input noise for high dimensional data ↗](https://doi.org/10.1145/1143844.1143962)**Jo-Anne Ting, Aaron D’Souza, Stefan Schaal*13 citations* 124. **[Classifying EEG for brain-computer interfaces ↗](https://doi.org/10.1145/1143844.1143952)**Le Song, Julien Epps*12 citations* 125. **[Cost-sensitive learning with conditional Markov networks ↗](https://doi.org/10.1145/1143844.1143945)**Prithviraj Sen, Lise C. Getoor*12 citations* 126. **[CN = CPCN ↗](https://doi.org/10.1145/1143844.1143935)**Liva Ralaivola, François Denis, Christophe N. Magnan*11 citations* 127. **[Predictive linear-Gaussian models of controlled stochastic dynamical systems ↗](https://doi.org/10.1145/1143844.1143942)**Matthew R. Rudary, Satinder Pal Singh*11 citations* 128. **[Sequential update of ADtrees ↗](https://doi.org/10.1145/1143844.1143941)**Josep Roure, Andrew Moore*11 citations* 129. **[Active sampling for detecting irrelevant features ↗](https://doi.org/10.1145/1143844.1143965)**Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani*10 citations* 130. **[Efficient learning of Naive Bayes classifiers under class-conditional classification noise ↗](https://doi.org/10.1145/1143844.1143878)**François Denis, Christophe Nicolas Magnan, Liva Ralaivola*10 citations* 131. **[Hidden process models ↗](https://doi.org/10.1145/1143844.1143899)**Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi*10 citations* 132. **[Qualitative reinforcement learning ↗](https://doi.org/10.1145/1143844.1143883)**Arkady Epshteyn, GERALD F. DEJONG*9 citations* 133. **[Categorization in multiple category systems ↗](https://doi.org/10.1145/1143844.1143938)**Jean-Michel Renders, Éric Gaussier, Cyril Goutte et al.*8 citations* 134. **[Predictive search distributions ↗](https://doi.org/10.1145/1143844.1143860)**Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov et al.*8 citations* 135. **[Region-based value iteration for partially observable Markov decision processes ↗](https://doi.org/10.1145/1143844.1143915)**Hui Li, Xuejun Liao, Lawrence Carin*8 citations* 136. **[Fast transpose methods for kernel learning on sparse data ↗](https://doi.org/10.1145/1143844.1143893)**Patrick Haffner*7 citations* 137. **[Pareto optimal linear classification ↗](https://doi.org/10.1145/1143844.1143904)**Seung-Jean Kim, Alessandro Magnani, Sikandar Samar et al.*7 citations* 138. **[Bayesian learning of measurement and structural models ↗](https://doi.org/10.1145/1143844.1143948)**Ricardo Silva, Richard Scheines*6 citations* 139. **[A note on mixtures of experts for multiclass responses ↗](https://doi.org/10.1145/1143844.1143886)**Yang Ge, Wenxin Jiang*3 citations* 140. **[A probabilistic model for text kernels ↗](https://doi.org/10.1145/1143844.1143912)**Alain Lehmann, John S. Shawe-Taylor*2 citations* 141. **[MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models ↗](http://pubman.mpdl.mpg.de/pubman/item/escidoc:1790987)**Carl Edward Rasmussen, Dilan Görür [← prev](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/) [1](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/) **2** - [← back to](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/) — ICML 2006