📰 Machine Learning 1995 — papers

The works of Machine Learning published in 1995 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. Support-Vector NetworksCorinna Cortes, Vladimir N. Vapnik58,873 citations · our summary
2. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data ↗David E. Heckerman, Dan Geiger, David M. Chickering3,231 citations
3. Learning Bayesian networks: The combination of knowledge and statistical data ↗David E. Heckerman, Dan Geiger, David M. Chickering2,017 citations
4. Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization ↗Timothy L. Bailey, Charles Elkan670 citations
5. Multivariate Decision Trees ↗Carla E. Brodley, Paul E. Utgoff447 citations
6. The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces ↗Andrew Moore, Christopher G. Atkeson259 citations
7. Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension ↗Sally Floyd, Manfred K. Warmuth256 citations
8. An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms ↗Dietrich Wettschereck, Thomas G. Dietterich239 citations
9. Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms ↗Arie Ben‐David164 citations
10. Automated Refinement of First-Order Horn-Clause Domain Theories ↗Bradley L. Richards, Raymond J. Mooney140 citations

All works of the year (60)

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

1. Support-Vector NetworksCorinna Cortes, Vladimir N. Vapnik58,873 citations · our summary
2. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data ↗David E. Heckerman, Dan Geiger, David M. Chickering3,231 citations
3. Learning Bayesian networks: The combination of knowledge and statistical data ↗David E. Heckerman, Dan Geiger, David M. Chickering2,017 citations
4. Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization ↗Timothy L. Bailey, Charles Elkan670 citations
5. Multivariate Decision Trees ↗Carla E. Brodley, Paul E. Utgoff447 citations
6. The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces ↗Andrew Moore, Christopher G. Atkeson259 citations
7. Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension ↗Sally Floyd, Manfred K. Warmuth256 citations
8. An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms ↗Dietrich Wettschereck, Thomas G. Dietterich239 citations
9. Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms ↗Arie Ben‐David164 citations
10. Automated Refinement of First-Order Horn-Clause Domain Theories ↗Bradley L. Richards, Raymond J. Mooney140 citations
11. Evaluation and Selection of Biases in Machine Learning ↗Diana F. Gordon, Marie Ellen Desjardins140 citations
12. The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces ↗Andrew Moore, Christopher G. Atkeson137 citations
13. Recursive Automatic Bias Selection for Classifier Construction ↗Carla E. Brodley126 citations
14. Technical note: Bias and the quantification of stability ↗Peter D. Turney121 citations
15. Genetic Algorithms, Operators, and DNA Fragment Assembly ↗Rebecca J. Parsons, Stephanie Forrest, Christian Burks110 citations
16. Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition ↗Cathy H. Wu, Michael W. Berry, Sailaja Shivakumar et al.99 citations
17. Inductive Policy: The Pragmatics of Bias Selection ↗Foster John Provost, Bruce G. Buchanan89 citations
18. ALECSYS and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems ↗Marco Dorigo72 citations
19. Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers ↗Paul W. Goldberg, Mark Jerrum65 citations
20. A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping ↗Thomas G. Dietterich, Hermann Hild, Ghulum Bakiri58 citations
21. Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning ↗Thomas Dean, Dana Angluin A, Kenneth Basye et al.52 citations
22. On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata ↗Takashi Yokomori42 citations
23. Piecemeal learning of an unknown environment ↗Margrit Betke, Ronald L. Rivest, Mona Singh41 citations
24. Declarative Bias for Specific-to-General ILP Systems ↗Hilde Adé, Luc De Raedt, Maurice Bruynooghe39 citations
25. Encouraging Experimental Results on Learning CNF ↗Raymond J. Mooney38 citations

See all 60 papers in Machine Learning 1995 — papers →

📄 Works with our summary in our library (1)

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

1. Support-Vector NetworksMachine LearningCorinna Cortes, Vladimir Vapnik1995 · 59,451 citations

📚 Fields

🖥️Computer Science (1)

🏛️ Top institutions

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

🏢AT&TBedminster · United States1 work here

works and citations from OpenAlex and our library.

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