📰 Machine Learning 1991: all accepted papers

53 papers · the most cited first · ← Machine Learning 1991

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
26. Learning search control knowledge: An explanation-based approach ↗Roland J. Zito-Wolf10 citations
27. Exemplar-based knowledge acquisition ↗Yoram Reich7 citations
28. Learning to Predict Non-Deterministically Generated Strings ↗Moshe Koppel4 citations
29. Relational Clichés: Constraining Induction During Relational Learning. ↗Glenn Silverstein, Michael J. Pazzani4 citations
30. Book Review: Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989 ↗Yoram Reich2 citations
31. Learning Automata from Ordered Examples ↗Sara Porat, Jerome A. Feldman2 citations
32. Variable Resolution Dynamic Programming. ↗Andrew Moore2 citations
33. A ?PAC? algorithm for making feature maps ↗Philip D. Laird, Evan Gamble1 citation
34. Editorial ↗1 citation
35. Generalizing the Learning Model ↗BALAS K. NATARAJAN1 citation
36. Introduction ↗1 citation
37. Learning Concepts on Countable Domains ↗BALAS K. NATARAJAN1 citation
38. Learning Concepts on Uncountable Domains ↗BALAS K. NATARAJAN1 citation
39. Learning Functions ↗BALAS K. NATARAJAN1 citation
40. A Reply To Reich's Book Review of Exemplar-Based Knowledge Acquisition ↗Ray Bareiss
41. A Reply to Zito-Wolf's Book Review of Learning Search Control Knowledge: An Explanation-Based Approach ↗Steven Minton
42. A reply to Zito-Wolf's book review ofLearning search control knowledge: An explanation-based approach ↗
43. Book ReviewLearning Search Control Knowledge: An Explanation-Based Approach, by Steven Minton. Kluwer Academic Publishers, 1988, 214 pages ↗Roland J. Zito-Wolf
44. Conclusion ↗BALAS K. NATARAJAN
45. Editorial ↗Jaime G. Carbonell
46. Editorial ↗Jaime G. Carbonell
47. Editorial ↗Jaime G. Carbonell
48. Finite Automata ↗BALAS K. NATARAJAN
49. Introduction ↗BALAS K. NATARAJAN
50. Neural Networks ↗BALAS K. NATARAJAN
51. Notation ↗
52. SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments ↗Michael C. Mozer, Jonathan R. Bachrach
53. Time Complexity of Concept Learning ↗BALAS K. NATARAJAN

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