Machine Learning 2000: all accepted papers
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization ↗Thomas G. Dietterich2,941 citations
- Text Classification from Labeled and Unlabeled Documents using EMKamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al.2,736 citations · our summary
- BoosTexter: A Boosting-based System for Text Categorization ↗Robert E. Schapire, Yoram Singer2,188 citations
- Reduction Techniques for Instance-Based Learning Algorithms ↗D. Randall Wilson, Tony R. Martinez1,182 citations
- A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms ↗Tjen-Sien Lim, Wei‐Yin Loh, Yu‐Shan Shih1,133 citations
- MultiBoosting: A Technique for Combining Boosting and Wagging ↗Geoffrey I. Webb703 citations
- Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms ↗Satinder Pal Singh, Tommi Jaakkola, Michael L. Littman et al.609 citations
- Machine Learning for Information Extraction in Informal Domains ↗Dayne Freitag350 citations
- Cascade Generalization ↗João Manuel Portela da Gama, Pavel Brazdil281 citations
- Randomizing Outputs to Increase Prediction Accuracy ↗Leo Breiman276 citations
- Technical Note: Naive Bayes for Regression ↗Eibe Frank, Leonard E. Trigg, Geoffrey Holmes et al.251 citations
- Lazy Learning of Bayesian Rules ↗Zijian Zheng, Geoffrey I. Webb247 citations
- Multiple Comparisons in Induction Algorithms ↗David D. Jensen, Paul R. Cohen241 citations
- LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning ↗Ryszard S. Michalski228 citations
- A Formalism for Relevance and Its Application in Feature Subset Selection ↗David Bell, Hui Wang196 citations
- Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web ↗Filippo Menczer, Richard K. Belew156 citations
- Selecting Examples for Partial Memory Learning ↗Marcus A. Maloof, Ryszard S. Michalski142 citations
- Improved Generalization Through Explicit Optimization of Margins ↗Llew Mason, Peter L. Bartlett, Jonathan Baxter129 citations
- Nonparametric Time Series Prediction Through Adaptive Model Selection ↗Ron Meir100 citations
- Enlarging the Margins in Perceptron Decision Trees ↗Kristin P. Bennett, Nello Cristianini, John S. Shawe-Taylor et al.89 citations
- Multistrategy Theory Revision: Induction and Abduction in INTHELEX ↗Floriana Esposito, Giovanni Maria Semeraro, Nicola Fanizzi et al.78 citations
- On-line Learning and the Metrical Task System Problem ↗Avrim L. Blum, Carl Burch76 citations
- Phase Transitions in Relational Learning ↗Attilio Giordana, Lorenza Saitta56 citations
- Upper and Lower Bounds on the Learning Curve for Gaussian Processes ↗Christopher K. I. Williams, Francesco Vivarelli56 citations
- Learning Changing Concepts by Exploiting the Structure of Change ↗Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni54 citations
- Bottom-Up Induction of Feature Terms ↗Eva Armengol, Enric Plaza46 citations
- A Machine Learning Approach to POS Tagging ↗Lluı́s Màrquez, Lluís Padró, Horacio Rodríguez43 citations
- Multistrategy Discovery and Detection of Novice Programmer Errors ↗Raymund C. Sison, Masayuki Numao, Masamichi Shimura41 citations
- Stochastic Grammatical Inference of Text Database Structure ↗Matthew Young-Lai, Frank Wm. Tompa41 citations
- Constructing X-of-N Attributes for Decision Tree Learning ↗Zijian Zheng36 citations
- Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching ↗Michèle Sébag, Céline Rouveirol35 citations
- Adaptive Versus Nonadaptive Attribute-Efficient Learning ↗Peter Damaschke34 citations
- Strategies in Combined Learning via Logic Programs ↗Evelina Lamma, Fabrizio Riguzzi, Luı́s Moniz Pereira29 citations
- Implementation Issues in the Fourier Transform Algorithm ↗Yishay Mansour, Sigal Sahar18 citations
- Refining Numerical Constants in First Order Logic Theories ↗Marco Botta, Roberto Piola12 citations
- A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners ↗Claire Cardie11 citations
- A Multistrategy Approach to Classifier Learning from Time Series ↗William H. Hsu, Sylvian R. Ray, David C. Wilkins9 citations
- Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks ↗Brendan Burns, Andrea Danyluk8 citations
- Markov Processes on Curves ↗Lawrence K. Saul, Mazin G. Rahim6 citations
- Special Issue of Machine Learning on Information Retrieval Introduction ↗Jaime G. Carbonell, Yiming Yang, William W. Cohen6 citations
- Multi Level Knowledge in Modeling Qualitative Physics Learning ↗Filippo Neri2 citations
- Maximizing Theory Accuracy Through Selective Reinterpretation ↗Shlomo Argamon, Moshe Koppel, Hillel Walters1 citation
- Guest Editors' Introduction ↗Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta
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