---
title: "ICML 2005 — all accepted papers, page 2 — the most cited first"
description: "All 140 papers of ICML 2005 · page 2 of 2, the most cited first; those with our summary link to it."
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# ICML 2005: all accepted papers

140 papers · page 2 of 2 · the most cited first · [← ICML 2005](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2005/)

[← prev](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2005/papers/) [1](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2005/papers/) **2**

101. **[Active learning for sampling in time-series experiments with application to gene expression analysis ↗](https://doi.org/10.1145/1102351.1102456)**Rohit Kumar Singh, Nathan Palmer, David Kenneth Gifford et al.*21 citations*
102. **[Dirichlet enhanced relational learning ↗](https://doi.org/10.1145/1102351.1102478)**Zhao Xu, Volker Tresp, Kai Yu et al.*21 citations*
103. **[Explanation-Augmented SVM ↗](https://doi.org/10.1145/1102351.1102460)**Qiang Sun, GERALD F. DEJONG*21 citations*
104. **[Implicit surface modelling as an eigenvalue problem ↗](https://doi.org/10.1145/1102351.1102469)**Christian Walder, Olivier Chapelle, Bernhard Schölkopf*21 citations*
105. **[Generalized LARS as an effective feature selection tool for text classification with SVMs ↗](https://doi.org/10.1145/1102351.1102404)**S. Sathiya Keerthi*20 citations*
106. **[TD(λ) networks ↗](https://doi.org/10.1145/1102351.1102463)**Brian K Tanner, Richard S. Sutton*20 citations*
107. **[Ensembles of biased classifiers ↗](https://doi.org/10.1145/1102351.1102405)**Rinat Khoussainov, Andreas Heß, Nicholas Kushmerick*19 citations*
108. **[Reducing overfitting in process model induction ↗](https://doi.org/10.1145/1102351.1102362)**Will B. Bridewell, Narges Bani Asadi, Pat Langley et al.*19 citations*
109. **[A graphical model for chord progressions embedded in a psychoacoustic space ↗](https://doi.org/10.1145/1102351.1102432)**Jean-François Paiement, Douglas Eck, Samy Bengio et al.*18 citations*
110. **[A comparison of tight generalization error bounds ↗](https://doi.org/10.1145/1102351.1102403)**Matti Kääriäinen, John C. Langford*16 citations*
111. **[A model for handling approximate, noisy or incomplete labeling in text classification ↗](https://doi.org/10.1145/1102351.1102437)**Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Raghu J. Krishnapuram et al.*15 citations*
112. **[Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields ↗](https://doi.org/10.1145/1102351.1102471)**Shaojun Wang, Shaomin Wang, Russell Greiner et al.*15 citations*
113. **[Learning class-discriminative dynamic Bayesian networks ↗](https://doi.org/10.1145/1102351.1102364)**John Burge, Terran D.R. Lane*14 citations*
114. **[Interactive learning of mappings from visual percepts to actions ↗](https://doi.org/10.1145/1102351.1102401)**Sébastien Jodogne, Justus Piater*13 citations*
115. **[Coarticulation ↗](https://doi.org/10.1145/1102351.1102442)**Khashayar Rohanimanesh, Sridhar Mahadevan*12 citations*
116. **[Hedged learning ↗](https://doi.org/10.1145/1102351.1102367)**Yu-Han Chang, Leslie Pack Kaelbling*12 citations*
117. **[PAC-Bayes risk bounds for sample-compressed Gibbs classifiers ↗](https://doi.org/10.1145/1102351.1102412)**François Laviolette, Mario Marchand*12 citations*
118. **[Closed-form dual perturb and combine for tree-based models ↗](https://doi.org/10.1145/1102351.1102381)**Pierre Geurts, Louis A. Wehenkel*11 citations*
119. **[Large margin non-linear embedding ↗](https://doi.org/10.1145/1102351.1102485)**Alexander Zien, Joaquin Quiñonero Candela*10 citations*
120. **[New kernels for protein structural motif discovery and function classification ↗](https://doi.org/10.1145/1102351.1102470)**Chang Wang, Stephen Scott*9 citations*
121. **[Predicting protein folds with structural repeats using a chain graph model ↗](https://doi.org/10.1145/1102351.1102416)**Yan Liu, Eric P. Xing, Jaime Carbonell*8 citations*
122. **[Recycling data for multi-agent learning ↗](https://doi.org/10.1145/1102351.1102431)**Santiago Ontañón, Enric Plaza*8 citations*
123. **[Topic-specific scoring of documents for relevant retrieval ↗](https://researchportal.helsinki.fi/en/publications/topic-specific-scoring-of-documents-for-relevant-retrieval)**Wray Buntine, Jaakko Löfström, Sami Perttu et al.*8 citations*
124. **[New d-separation identification results for learning continuous latent variable models ↗](https://doi.org/10.1145/1102351.1102453)**Ricardo Silva, Richard Scheines*7 citations*
125. **[A practical generalization of Fourier-based learning ↗](https://doi.org/10.1145/1102351.1102375)**Adam Drake, Dan A. Ventura*6 citations*
126. **[Generalized skewing for functions with continuous and nominal attributes ↗](https://doi.org/10.1145/1102351.1102440)**Soumya Ray, David Page*6 citations*
127. **[Tempering for Bayesian C&RT ↗](https://doi.org/10.1145/1102351.1102354)**Nicos Angelopoulos, James Cussens*6 citations*
128. **[Adapting two-class support vector classification methods to many class problems ↗](https://doi.org/10.1145/1102351.1102391)**Simon I. Hill, Arnaud Doucet B*5 citations*
129. **[Learning strategies for story comprehension ↗](https://doi.org/10.1145/1102351.1102384)**Eugene Grois, David C. Wilkins*5 citations*
130. **[Why skewing works ↗](https://doi.org/10.1145/1102351.1102443)**Bernard Rosell, Lisa Hellerstein, Soumya Ray et al.*5 citations*
131. **[Computational aspects of Bayesian partition models ↗](https://doi.org/10.1145/1102351.1102406)**Mikko Koivisto, Kismat Sood*4 citations*
132. **[Structural Damage Detection by Integrating Independent Component Analysis and Artificial Neural Networks. ↗](https://dblp.uni-trier.de/db/conf/mlmta/mlmta2005.html#SongZM05)**Huazhu Song, Luo Zhong, Franklin Moon*4 citations*
133. **[Unsupervised evidence integration ↗](https://doi.org/10.1145/1102351.1102417)**Philip M. Long, Vinay Varadan, Sarah R Gilman et al.*4 citations*
134. **[A smoothed boosting algorithm using probabilistic output codes ↗](https://doi.org/10.1145/1102351.1102397)**Rong Jin, Jian Zhang*3 citations*
135. **[Experimental comparison between bagging and Monte Carlo ensemble classification ↗](https://doi.org/10.1145/1102351.1102378)**Roberto Esposito, Lorenza Saitta*3 citations*
136. **[Variational Bayesian image modelling ↗](https://doi.org/10.1145/1102351.1102368)**Li Cheng, Feng Jiao, Dale Schuurmans et al.*3 citations*
137. **[Fuzzy rule Extraction and optimization for rat sleep-stage classification ↗](https://dblp.uni-trier.de/db/conf/mlmta/mlmta2005.html#Cruz-CanoNCC05)**Raul Cruz‐Cano, Patricia Nava, Rafael de Jesus Cabeza et al.*2 citations*
138. **[Reinforcement learning acceleration through autonomous subgoal discovery ↗](https://dblp.uni-trier.de/db/conf/mlmta/mlmta2005.html#AsadiH05)**Mehran Asadi, Manfred Huber*2 citations*
139. **[Scenario Violation in Nursing Activities ↗](https://ci.nii.ac.jp/naid/10018008640)**A. Abe*1 citation*
140. **[Software application for parasynthesis in spanish automatic processing ↗](https://accedacris.ulpgc.es/jspui/handle/10553/43491)**Juan Carlos Rodríguez-del-Pino, José Rafael Pérez Aguiar, Francisco Javier Carreras Riudavets et al.

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