The Twentieth International Conference on Machine Learning (ICML 2003)

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Organization

PC

Advisory Committee

Papers
    Sorted by Citation, Title
Community Statistics
1 Link-based Classification. Qing Lu, Lise Getoor. ICML 2003, 496-503. Cited by 144Web SearchBibTeX
2 Eliminating Class Noise in Large Datasets. Xingquan Zhu, Xindong Wu, Qijun Chen. ICML 2003, 920-927. Cited by 61Web SearchBibTeX
3 Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. Wee Sun Lee, Bing Liu. ICML 2003, 448-455. Cited by 41Web SearchBibTeX
4 Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning. Gang Wu, Edward Y. Chang. ICML 2003, 816-823. Cited by 28Web SearchBibTeX
5 Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty. ICML 2003, 912-919. Web SearchBibTeX
6 Using the Triangle Inequality to Accelerate k-Means. Charles Elkan. ICML 2003, 147-153. Web SearchBibTeX
7 Regression Error Characteristic Curves. Jinbo Bi, Kristin P. Bennett. ICML 2003, 43-50. Web SearchBibTeX
8 Text Classification Using Stochastic Keyword Generation. Cong Li, Ji-Rong Wen, Hang Li. ICML 2003, 464-471. Web SearchBibTeX
9 Learning Mixture Models with the Latent Maximum Entropy Principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao. ICML 2003, 784-791. Web SearchBibTeX
10 Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann. ICML 2003, 888-895. Web SearchBibTeX
11 Learning with Knowledge from Multiple Experts. Matthew Richardson, Pedro Domingos. ICML 2003, 624-631. Web SearchBibTeX
12 A Loss Function Analysis for Classification Methods in Text Categorization. Fan Li, Yiming Yang. ICML 2003, 472-479. Web SearchBibTeX
13 Reinforcement Learning as Classification: Leveraging Modern Classifiers. Michail G. Lagoudakis, Ronald Parr. ICML 2003, 424-431. Web SearchBibTeX
14 Q-Decomposition for Reinforcement Learning Agents. Stuart J. Russell, Andrew Zimdars. ICML 2003, 656-663. Web SearchBibTeX
15 An Evaluation on Feature Selection for Text Clustering. Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma. ICML 2003, 488-495. Web SearchBibTeX
16 Tackling the Poor Assumptions of Naive Bayes Text Classifiers. Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger. ICML 2003, 616-623. Web SearchBibTeX
17 Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. Andrew W. Moore, Weng-Keen Wong. ICML 2003, 552-559. Web SearchBibTeX
18 The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics. Peter A. Flach. ICML 2003, 194-201. Web SearchBibTeX
19 Planning in the Presence of Cost Functions Controlled by an Adversary. H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum. ICML 2003, 536-543. Web SearchBibTeX
20 Transductive Learning via Spectral Graph Partitioning. Thorsten Joachims. ICML 2003, 290-297. Web SearchBibTeX
21 Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. Yi Zhang, Wei Xu, James P. Callan. ICML 2003, 896-903. Web SearchBibTeX
22 Avoiding Bias when Aggregating Relational Data with Degree Disparity. David Jensen, Jennifer Neville, Michael Hay. ICML 2003, 274-281. Web SearchBibTeX
23 Semi-Supervised Learning of Mixture Models. Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar Cirelo. ICML 2003, 99-106. Web SearchBibTeX
24 Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner. ICML 2003, 808-815. Web SearchBibTeX
25 An Analysis of Rule Evaluation Metrics. Johannes Fürnkranz, Peter A. Flach. ICML 2003, 202-209. Web SearchBibTeX
26 Margin Distribution and Learning. Ashutosh Garg, Dan Roth. ICML 2003, 210-217. Web SearchBibTeX
27 Using Linear-threshold Algorithms to Combine Multi-class Sub-experts. Chris Mesterharm. ICML 2003, 544-551. Web SearchBibTeX
28 Weighted Low-Rank Approximations. Nathan Srebro, Tommi Jaakkola. ICML 2003, 720-727. Web SearchBibTeX
29 Online Convex Programming and Generalized Infinitesimal Gradient Ascent. Martin Zinkevich. ICML 2003, 928-936. Web SearchBibTeX
30 Linear Programming Boosting for Uneven Datasets. Jure Leskovec, John Shawe-Taylor. ICML 2003, 456-463. Web SearchBibTeX
31 Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations. Thore Graepel. ICML 2003, 234-241. Web SearchBibTeX
32 Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. Amy McGovern, David Jensen. ICML 2003, 528-535. Web SearchBibTeX
33 Stochastic Local Search in k-Term DNF Learning. Ulrich Rückert, Stefan Kramer. ICML 2003, 648-655. Web SearchBibTeX
34 On Kernel Methods for Relational Learning. Chad M. Cumby, Dan Roth. ICML 2003, 107-114. Web SearchBibTeX
35 Low Bias Bagged Support Vector Machines. Giorgio Valentini, Thomas G. Dietterich. ICML 2003, 752-759. Web SearchBibTeX
36 Informative Discriminant Analysis. Samuel Kaski, Jaakko Peltonen. ICML 2003, 329-336. Web SearchBibTeX
37 Model-based Policy Gradient Reinforcement Learning. Xin Wang, Thomas G. Dietterich. ICML 2003, 776-783. Web SearchBibTeX
38 Machine Learning with Hyperkernels. Cheng Soon Ong, Alex J. Smola. ICML 2003, 568-575. Web SearchBibTeX
39 Cross-Entropy Directed Embedding of Network Data. Takeshi Yamada, Kazumi Saito, Naonori Ueda. ICML 2003, 832-839. Web SearchBibTeX
40 The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy. Clifford Kotnik, Jugal K. Kalita. ICML 2003, 369-375. Web SearchBibTeX
41 Decision Tree with Better Ranking. Charles X. Ling, Robert J. Yan. ICML 2003, 480-487. Web SearchBibTeX
42 Unsupervised Learning with Permuted Data. Sergey Kirshner, Sridevi Parise, Padhraic Smyth. ICML 2003, 345-352. Web SearchBibTeX
43 Learning from Attribute Value Taxonomies and Partially Specified Instances. Jun Zhang, Vasant Honavar. ICML 2003, 880-887. Web SearchBibTeX
44 Boosting Lazy Decision Trees. Xiaoli Zhang Fern, Carla E. Brodley. ICML 2003, 178-185. Web SearchBibTeX
45 Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. Xiaoli Zhang Fern, Carla E. Brodley. ICML 2003, 186-193. Web SearchBibTeX
46 Text Bundling: Statistics Based Data-Reduction. Lawrence Shih, Jason D. Rennie, Yu-Han Chang, David R. Karger. ICML 2003, 696-703. Web SearchBibTeX
47 The Pre-Image Problem in Kernel Methods. James T. Kwok, Ivor W. Tsang. ICML 2003, 408-415. Web SearchBibTeX
48 Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi. ICML 2003, 840-847. Web SearchBibTeX
49 Isometric Embedding and Continuum ISOMAP. Hongyuan Zha, Zhenyue Zhang. ICML 2003, 864-871. Web SearchBibTeX
50 A Faster Iterative Scaling Algorithm for Conditional Exponential Model. Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann. ICML 2003, 282-289. Web SearchBibTeX
51 Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz. ICML 2003, 848-855. Web SearchBibTeX
52 Learning with Idealized Kernels. James T. Kwok, Ivor W. Tsang. ICML 2003, 400-407. Web SearchBibTeX
53 Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining. Jeff L. Stimpson, Michael A. Goodrich. ICML 2003, 728-735. Web SearchBibTeX
54 Multi-Objective Programming in SVMs. Jinbo Bi. ICML 2003, 35-42. Web SearchBibTeX
55 Hierarchical Latent Knowledge Analysis for Co-occurrence Data. Hiroshi Mamitsuka. ICML 2003, 504-511. Web SearchBibTeX
56 Hidden Markov Support Vector Machines. Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann. ICML 2003, 3-10. Web SearchBibTeX
57 Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider. ICML 2003, 392-399. Web SearchBibTeX
58 Robust Induction of Process Models from Time-Series Data. Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito. ICML 2003, 432-439. Web SearchBibTeX
59 Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. Nicolas Lachiche, Peter A. Flach. ICML 2003, 416-423. Web SearchBibTeX
60 Learning Logic Programs for Layout Analysis Correction. Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba. ICML 2003, 27-34. Web SearchBibTeX
61 Principled Methods for Advising Reinforcement Learning Agents. Eric Wiewiora, Garrison W. Cottrell, Charles Elkan. ICML 2003, 792-799. Web SearchBibTeX
62 Marginalized Kernels Between Labeled Graphs. Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi. ICML 2003, 321-328. Web SearchBibTeX
63 Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. Lei Yu, Huan Liu. ICML 2003, 856-863. Web SearchBibTeX
64 Relational Instance Based Regression for Relational Reinforcement Learning. Kurt Driessens, Jan Ramon. ICML 2003, 123-130. Web SearchBibTeX
65 Mixtures of Conditional Maximum Entropy Models. Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar. ICML 2003, 584-591. Web SearchBibTeX
66 Flexible Mixture Model for Collaborative Filtering. Luo Si, Rong Jin. ICML 2003, 704-711. Web SearchBibTeX
67 Tractable Bayesian Learning of Tree Augmented Naive Bayes Models. Jesús Cerquides, Ramon López de Mántaras. ICML 2003, 75-82. Web SearchBibTeX
68 New í-Support Vector Machines and their Sequential Minimal Optimization. Xiaoyun Wu, Rohini K. Srihari. ICML 2003, 824-831. Web SearchBibTeX
69 Online Feature Selection using Grafting. Simon Perkins, James Theiler. ICML 2003, 592-599. Web SearchBibTeX
70 Evolving Strategies for Focused Web Crawling. Judy Johnson, Kostas Tsioutsiouliklis, C. Lee Giles. ICML 2003, 298-305. Web SearchBibTeX
71 Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. Dennis DeCoste, Dominic Mazzoni. ICML 2003, 115-122. Web SearchBibTeX
72 Learning on the Test Data: Leveraging Unseen Features. Benjamin Taskar, Ming Fai Wong, Daphne Koller. ICML 2003, 744-751. Web SearchBibTeX
73 Exploration in Metric State Spaces. Sham Kakade, Michael J. Kearns, John Langford. ICML 2003, 306-312. Web SearchBibTeX
74 Classification of Text Documents Based on Minimum System Entropy. Raghu Krishnapuram, Krishna Prasad Chitrapura, Sachindra Joshi. ICML 2003, 384-391. Web SearchBibTeX
75 On the Convergence of Boosting Procedures. Tong Zhang, Bin Yu. ICML 2003, 904-911. Web SearchBibTeX
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  • Papers: 75
  • Total Citations: 274
References
1. ^ ICML-2003 Committees - Retrieved 2009-11-21 - details
2. ^ ICML-2003 Committees - Retrieved 2009-11-21 - details
3. ^ ICML-2003 Committees - Retrieved 2009-11-21 - details
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52. ^ ICML-2003 Committees - Retrieved 2012-01-12 - details
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64. ^ ICML 2003 - Retrieved 2009-11-21 - details
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