📰 Machine Learning 2000 — papers

The works of Machine Learning published in 2000 that our library holds (publisher: Springer Science+Business Media): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization ↗Thomas G. Dietterich2,941 citations
2. Text Classification from Labeled and Unlabeled Documents using EMKamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al.2,736 citations · our summary
3. BoosTexter: A Boosting-based System for Text Categorization ↗Robert E. Schapire, Yoram Singer2,188 citations
4. Reduction Techniques for Instance-Based Learning Algorithms ↗D. Randall Wilson, Tony R. Martinez1,182 citations
5. 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
6. MultiBoosting: A Technique for Combining Boosting and Wagging ↗Geoffrey I. Webb703 citations
7. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms ↗Satinder Pal Singh, Tommi Jaakkola, Michael L. Littman et al.609 citations
8. Machine Learning for Information Extraction in Informal Domains ↗Dayne Freitag350 citations
9. Cascade Generalization ↗João Manuel Portela da Gama, Pavel Brazdil281 citations
10. Randomizing Outputs to Increase Prediction Accuracy ↗Leo Breiman276 citations

All works of the year (47)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization ↗Thomas G. Dietterich2,941 citations
2. Text Classification from Labeled and Unlabeled Documents using EMKamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al.2,736 citations · our summary
3. BoosTexter: A Boosting-based System for Text Categorization ↗Robert E. Schapire, Yoram Singer2,188 citations
4. Reduction Techniques for Instance-Based Learning Algorithms ↗D. Randall Wilson, Tony R. Martinez1,182 citations
5. 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
6. MultiBoosting: A Technique for Combining Boosting and Wagging ↗Geoffrey I. Webb703 citations
7. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms ↗Satinder Pal Singh, Tommi Jaakkola, Michael L. Littman et al.609 citations
8. Machine Learning for Information Extraction in Informal Domains ↗Dayne Freitag350 citations
9. Cascade Generalization ↗João Manuel Portela da Gama, Pavel Brazdil281 citations
10. Randomizing Outputs to Increase Prediction Accuracy ↗Leo Breiman276 citations
11. Technical Note: Naive Bayes for Regression ↗Eibe Frank, Leonard E. Trigg, Geoffrey Holmes et al.251 citations
12. Lazy Learning of Bayesian Rules ↗Zijian Zheng, Geoffrey I. Webb247 citations
13. Multiple Comparisons in Induction Algorithms ↗David D. Jensen, Paul R. Cohen241 citations
14. LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning ↗Ryszard S. Michalski228 citations
15. A Formalism for Relevance and Its Application in Feature Subset Selection ↗David Bell, Hui Wang196 citations
16. Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web ↗Filippo Menczer, Richard K. Belew156 citations
17. Selecting Examples for Partial Memory Learning ↗Marcus A. Maloof, Ryszard S. Michalski142 citations
18. Improved Generalization Through Explicit Optimization of Margins ↗Llew Mason, Peter L. Bartlett, Jonathan Baxter129 citations
19. Nonparametric Time Series Prediction Through Adaptive Model Selection ↗Ron Meir100 citations
20. Enlarging the Margins in Perceptron Decision Trees ↗Kristin P. Bennett, Nello Cristianini, John S. Shawe-Taylor et al.89 citations
21. Multistrategy Theory Revision: Induction and Abduction in INTHELEX ↗Floriana Esposito, Giovanni Maria Semeraro, Nicola Fanizzi et al.78 citations
22. On-line Learning and the Metrical Task System Problem ↗Avrim L. Blum, Carl Burch76 citations
23. A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions ↗Rémi Munos75 citations
24. Phase Transitions in Relational Learning ↗Attilio Giordana, Lorenza Saitta56 citations
25. Upper and Lower Bounds on the Learning Curve for Gaussian Processes ↗Christopher K. I. Williams, Francesco Vivarelli56 citations

See all 47 papers in Machine Learning 2000 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Text Classification from Labeled and Unlabeled Documents using EMMachine LearningKamal Nigam, Andrew McCallum, Sebastian Thrun, et al.2000 · 2,862 citations

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Carnegie Mellon UniversityPittsburgh · United States1 work here

works and citations from OpenAlex and our library.

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This page in Markdown → https://md.research.elamur.ai/free/en/venues/machine-learning/2000/