---
title: "Machine Learning 2000 — papers — Elamur Research"
description: "Machine Learning 2000 — papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/machine-learning/2000/"
---
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# 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.

[**47** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/machine-learning/2000/#works) · [**2,862** citations of these works](https://md.research.elamur.ai/free/en/venues/machine-learning/2000/#works)

## 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 ↗](https://doi.org/10.1023/a:1007607513941)**Thomas G. Dietterich*2,941 citations*
2. **[Text Classification from Labeled and Unlabeled Documents using EM](https://md.research.elamur.ai/free/en/papers/nigam-2000-text-classification-labeled-unlabeled-em/)**Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al.*2,736 citations · our summary*
3. **[BoosTexter: A Boosting-based System for Text Categorization ↗](https://doi.org/10.1023/a:1007649029923)**Robert E. Schapire, Yoram Singer*2,188 citations*
4. **[Reduction Techniques for Instance-Based Learning Algorithms ↗](https://doi.org/10.1023/a:1007626913721)**D. Randall Wilson, Tony R. Martinez*1,182 citations*
5. **[A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms ↗](https://doi.org/10.1023/a:1007608224229)**Tjen-Sien Lim, Wei‐Yin Loh, Yu‐Shan Shih*1,133 citations*
6. **[MultiBoosting: A Technique for Combining Boosting and Wagging ↗](https://doi.org/10.1023/a:1007659514849)**Geoffrey I. Webb*703 citations*
7. **[Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms ↗](https://doi.org/10.1023/a:1007678930559)**Satinder Pal Singh, Tommi Jaakkola, Michael L. Littman et al.*609 citations*
8. **[Machine Learning for Information Extraction in Informal Domains ↗](https://doi.org/10.1023/a:1007601113994)**Dayne Freitag*350 citations*
9. **[Cascade Generalization ↗](https://doi.org/10.1023/a:1007652114878)**João Manuel Portela da Gama, Pavel Brazdil*281 citations*
10. **[Randomizing Outputs to Increase Prediction Accuracy ↗](https://doi.org/10.1023/a:1007682208299)**Leo Breiman*276 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 ↗](https://doi.org/10.1023/a:1007607513941)**Thomas G. Dietterich*2,941 citations*
2. **[Text Classification from Labeled and Unlabeled Documents using EM](https://md.research.elamur.ai/free/en/papers/nigam-2000-text-classification-labeled-unlabeled-em/)**Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun et al.*2,736 citations · our summary*
3. **[BoosTexter: A Boosting-based System for Text Categorization ↗](https://doi.org/10.1023/a:1007649029923)**Robert E. Schapire, Yoram Singer*2,188 citations*
4. **[Reduction Techniques for Instance-Based Learning Algorithms ↗](https://doi.org/10.1023/a:1007626913721)**D. Randall Wilson, Tony R. Martinez*1,182 citations*
5. **[A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms ↗](https://doi.org/10.1023/a:1007608224229)**Tjen-Sien Lim, Wei‐Yin Loh, Yu‐Shan Shih*1,133 citations*
6. **[MultiBoosting: A Technique for Combining Boosting and Wagging ↗](https://doi.org/10.1023/a:1007659514849)**Geoffrey I. Webb*703 citations*
7. **[Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms ↗](https://doi.org/10.1023/a:1007678930559)**Satinder Pal Singh, Tommi Jaakkola, Michael L. Littman et al.*609 citations*
8. **[Machine Learning for Information Extraction in Informal Domains ↗](https://doi.org/10.1023/a:1007601113994)**Dayne Freitag*350 citations*
9. **[Cascade Generalization ↗](https://doi.org/10.1023/a:1007652114878)**João Manuel Portela da Gama, Pavel Brazdil*281 citations*
10. **[Randomizing Outputs to Increase Prediction Accuracy ↗](https://doi.org/10.1023/a:1007682208299)**Leo Breiman*276 citations*
11. **[Technical Note: Naive Bayes for Regression ↗](https://doi.org/10.1023/a:1007670802811)**Eibe Frank, Leonard E. Trigg, Geoffrey Holmes et al.*251 citations*
12. **[Lazy Learning of Bayesian Rules ↗](https://doi.org/10.1023/a:1007613203719)**Zijian Zheng, Geoffrey I. Webb*247 citations*
13. **[Multiple Comparisons in Induction Algorithms ↗](https://doi.org/10.1023/a:1007631014630)**David D. Jensen, Paul R. Cohen*241 citations*
14. **[LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning ↗](https://doi.org/10.1023/a:1007677805582)**Ryszard S. Michalski*228 citations*
15. **[A Formalism for Relevance and Its Application in Feature Subset Selection ↗](https://doi.org/10.1023/a:1007612503587)**David Bell, Hui Wang*196 citations*
16. **[Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web ↗](https://doi.org/10.1023/a:1007653114902)**Filippo Menczer, Richard K. Belew*156 citations*
17. **[Selecting Examples for Partial Memory Learning ↗](https://doi.org/10.1023/a:1007661119649)**Marcus A. Maloof, Ryszard S. Michalski*142 citations*
18. **[Improved Generalization Through Explicit Optimization of Margins ↗](https://doi.org/10.1023/a:1007697429651)**Llew Mason, Peter L. Bartlett, Jonathan Baxter*129 citations*
19. **[Nonparametric Time Series Prediction Through Adaptive Model Selection ↗](https://doi.org/10.1023/a:1007602715810)**Ron Meir*100 citations*
20. **[Enlarging the Margins in Perceptron Decision Trees ↗](https://doi.org/10.1023/a:1007600130808)**Kristin P. Bennett, Nello Cristianini, John S. Shawe-Taylor et al.*89 citations*
21. **[Multistrategy Theory Revision: Induction and Abduction in INTHELEX ↗](https://doi.org/10.1023/a:1007638124237)**Floriana Esposito, Giovanni Maria Semeraro, Nicola Fanizzi et al.*78 citations*
22. **[On-line Learning and the Metrical Task System Problem ↗](https://doi.org/10.1023/a:1007621832648)**Avrim L. Blum, Carl Burch*76 citations*
23. **[A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions ↗](https://doi.org/10.1023/a:1007686309208)**Rémi Munos*75 citations*
24. **[Phase Transitions in Relational Learning ↗](https://doi.org/10.1023/a:1007620705405)**Attilio Giordana, Lorenza Saitta*56 citations*
25. **[Upper and Lower Bounds on the Learning Curve for Gaussian Processes ↗](https://doi.org/10.1023/a:1007601601278)**Christopher K. I. Williams, Francesco Vivarelli*56 citations*

[See all 47 papers in Machine Learning 2000 — papers →](https://md.research.elamur.ai/free/en/venues/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 EM](https://md.research.elamur.ai/free/en/papers/nigam-2000-text-classification-labeled-unlabeled-em/) [Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)**Kamal Nigam, Andrew McCallum, Sebastian Thrun, et al.*2000 · 2,862 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Andrew McCallum**1 work here · 2,862 citations](https://md.research.elamur.ai/free/en/authors/andrew-mccallum/) · [🧑‍🔬**Kamal Nigam**1 work here · 2,862 citations](https://md.research.elamur.ai/free/en/authors/kamal-nigam/) · [🧑‍🔬**Tom M. Mitchell**1 work here · 2,862 citations](https://md.research.elamur.ai/free/en/authors/tom-m-mitchell/)

## Top institutions

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

[🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

works and citations from OpenAlex and our library.

- [← previous Machine Learning 1996](https://md.research.elamur.ai/free/en/venues/machine-learning/1996/)
- [↑ back to Machine Learning](https://md.research.elamur.ai/free/en/venues/machine-learning/)