📰 Machine Learning 1991 — papers

The works of Machine Learning published in 1991 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. Instance-Based Learning AlgorithmsDavid W. Aha, Dennis F. Kibler, Marc K. Albert5,175 citations · our summary
2. Distributed representations, simple recurrent networks, and grammatical structure ↗Jeffrey L. Elman1,354 citations
3. A Distance-Based Attribute Selection Measure for Decision Tree Induction ↗Ramón López de Mántaras417 citations
4. Letter Recognition Using Holland-Style Adaptive Classifiers ↗Peter W. Frey, David J. Slate409 citations
5. A Nearest Hyperrectangle Learning Method ↗Steven L. Salzberg384 citations
6. Symbolic and Neural Learning Algorithms: An Experimental Comparison ↗JUDE W. SHAVLIK, Raymond J. Mooney, Geoffrey G. Towell327 citations
7. Learning to Perceive and Act by Trial and Error ↗Steven D. Whitehead, Dana H. Ballard300 citations
8. The induction of dynamical recognizers ↗Jordan B. Pollack294 citations
9. Information-Based Evaluation Criterion for Classifier's Performance ↗Igor Kononenko, Ivan Bratko A204 citations
10. Graded state machines: The representation of temporal contingencies in simple recurrent networks ↗David Servan‐Schreiber, Axel Cleeremans, James L. McClelland201 citations

All works of the year (53)

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

1. Instance-Based Learning AlgorithmsDavid W. Aha, Dennis F. Kibler, Marc K. Albert5,175 citations · our summary
2. Distributed representations, simple recurrent networks, and grammatical structure ↗Jeffrey L. Elman1,354 citations
3. A Distance-Based Attribute Selection Measure for Decision Tree Induction ↗Ramón López de Mántaras417 citations
4. Letter Recognition Using Holland-Style Adaptive Classifiers ↗Peter W. Frey, David J. Slate409 citations
5. A Nearest Hyperrectangle Learning Method ↗Steven L. Salzberg384 citations
6. Symbolic and Neural Learning Algorithms: An Experimental Comparison ↗JUDE W. SHAVLIK, Raymond J. Mooney, Geoffrey G. Towell327 citations
7. Learning to Perceive and Act by Trial and Error ↗Steven D. Whitehead, Dana H. Ballard300 citations
8. The induction of dynamical recognizers ↗Jordan B. Pollack294 citations
9. Information-Based Evaluation Criterion for Classifier's Performance ↗Igor Kononenko, Ivan Bratko A204 citations
10. Graded state machines: The representation of temporal contingencies in simple recurrent networks ↗David Servan‐Schreiber, Axel Cleeremans, James L. McClelland201 citations
11. The Use of Background Knowledge in Decision Tree Induction ↗Marlon Núñez196 citations
12. The use of background knowledge in decision tree induction ↗Marlon N��ez113 citations
13. A distance-based attribute selection measure for decision tree induction ↗Ramon L�pez De M�ntaras89 citations
14. Improved Estimates for the Accuracy of Small Disjuncts ↗J. R. Quinlan88 citations
15. Complexity Results on Learning by Neural Nets ↗Jyh-Han Lin, Jeffrey Scott Vitter85 citations
16. Distributed Representations, Simple Recurrent Networks, And Grammatical Structure ↗Jeffrey L. Elman83 citations
17. Conflict Resolution as Discovery in Particle Physics ↗Șakir Kocabaș81 citations
18. Learning automata from ordered examples ↗Sara Porat, Jerome A. Feldman56 citations
19. A Critical Look at Experimental Evaluations of EBL ↗Alberto M. Segre, Charles Elkan, Alexander C. Russell32 citations
20. An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples ↗Renée Elio, Larry Watanabe26 citations
21. Rigel: An Inductive Learning System ↗Roberto Gemello, Franco Mana, Lorenza Saitta19 citations
22. The Induction of Dynamical Recognizers ↗Jordan B. Pollack19 citations
23. SLUG: A connectionist architecture for inferring the structure of finite-state environments ↗Michael C. Mozer, Jonathan R. Bachrach15 citations
24. Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks ↗David Servan‐Schreiber, Axel Cleeremans, James L. McClelland12 citations
25. Introduction ↗David S. Touretzky10 citations

See all 53 papers in Machine Learning 1991 — papers →

📄 Works with our summary in our library (1)

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

1. Instance-Based Learning AlgorithmsDavid W. Aha, Dennis Kibler, Marc K. Albert1991 · 5,250 citations

📚 Fields

🖥️Computer Science (1)

🏛️ Top institutions

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

🎓University of California, IrvineIrvine · United States1 work here

works and citations from OpenAlex and our library.

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