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Machine Learning, Volume 2

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Volume 2, Number 1, 1987

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Pat Langley:
Machine Learning and Grammar Induction. 5-8
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Robert C. Berwick, Samuel F. Pilato:
Learning Syntax by Automata Induction. 9-38
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Kurt VanLehn, William Ball:
A Version Space Approach to Learning Context-free Grammars. 39-74
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Thomas G. Dietterich:
News and Notes. Mach. Learn. 2(1): 75-96 (1987)

Volume 2, Number 2, 1987

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Pat Langley:
Machine Learning and Concept Formation. 99-102
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Michael Lebowitz:
Experiments with Incremental Concept Formation: UNIMEM. 103-138
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Douglas H. Fisher:
Knowledge Acquisition via Incremental Conceptual Clustering. 139-172
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Rogers P. Hall:
A Review of the Fourth International Workshop on Machine Learning. 173-190
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Thomas G. Dietterich:
News and Notes. Mach. Learn. 2(2): 191-192 (1987)

Volume 2, Number 3, 1987

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Pat Langley:
Research Papers in Machine Learning. 195-198
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Stewart W. Wilson:
Classifier Systems and the Animat Problem. 199-228
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Ronald L. Rivest:
Learning Decision Lists. 229-246
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Jeff Shrager:
Theory Change via View Application in Instructionless Learning. 247-276
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Thomas G. Dietterich:
News and Notes. Mach. Learn. 2(3): 277-278 (1987)

Volume 2, Number 4, 1987

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David Haussler:
New Theoretical Directions in Machine Learning. 281-284
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Nick Littlestone:
Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm. 285-318
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Dana Angluin:
Queries and Concept Learning. 319-342
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Dana Angluin, Philip D. Laird:
Learning From Noisy Examples. 343-370
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Leonard Pitt, Robert E. Reinke:
Criteria for Polynomial-Time (Conceptual) Clustering. 371-396
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Thomas G. Dietterich:
News and Notes. Mach. Learn. 2(4): 397-398 (1987)

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