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Machine Learning and Concept Formation
Pat Langley
Editorial Commentary Pages: 99 - 102
Machine learning, 1986, volume I

Legacy Pages: iii - iii
News and notes

News Pages: 75 - 96
News and Notes

News Pages: 75 - 96
A Version Space Approach to Learning Context-free Grammars
Kurt Vanlehn
William Ball
OriginalPaper Pages: 39 - 74
A version space approach to learning context-free grammars
Kurt Vanlehn
William Ball
OriginalPaper Pages: 39 - 74
Learning Syntax by Automata Induction
Robert C. Berwick
Sam Pilato
OriginalPaper Pages: 9 - 38
Learning syntax by automata induction
Robert C. Berwick
Sam Pilato
OriginalPaper Pages: 9 - 38
Machine learning and grammar induction
Pat Langley
Editorial Pages: 5 - 8
Machine Learning and Grammar Induction
Pat Langely
Editorial Commentary Pages: 5 - 8
New and notes

News Pages: 453 - 454
News and Notes

News Pages: 453 - 454
Chemical discovery as belief revision
Donald Rose
Pat Langley
OriginalPaper Pages: 423 - 452
Chemical Discovery as Belief Revision
Donald Rose
Pat Langley
OriginalPaper Pages: 423 - 452
Determining Arguments of Invariant Functional Descriptions
Mieczyslaw M. Kokar
OriginalPaper Pages: 403 - 422
Determining arguments of invariant functional descriptions
Mieczyslaw M. Kokar
OriginalPaper Pages: 403 - 422
Integrating quantitative and qualitative discovery: The ABACUS system
Brian C. Falkenhainer
Ryszard S. Michalski
OriginalPaper Pages: 367 - 401
Integrating Quantitative and Qualitative Discovery: The ABACUS System
Brian C. Falkenhainer
Ryszard S. Michalski
OriginalPaper Pages: 367 - 401
Editorial: Machine Learning and Discovery
Pat Langley
Ryszard S. Michalski
Editorial Commentary Pages: 363 - 366
Editorial: Machine learning and discovery
Pat Langley
Ryszard S. Michalski
EditorialNotes Pages: 363 - 366
News and Notes

News Pages: 355 - 358
News and notes

News Pages: 355 - 358
Incremental learning from noisy data
Jeffrey C. Schlimmer
Richard H. Granger Jr.
OriginalPaper Pages: 317 - 354
Incremental Learning from Noisy Data
Jeffrey C. Schlimmer
Richard H. Granger Jr.
OriginalPaper Pages: 317 - 354
Learning at the Knowledge Level
Thomas G. Dietterich
OriginalPaper Pages: 287 - 315
Learning at the knowledge level
Thomas G. Dietterich
OriginalPaper Pages: 287 - 315
Experimental goal regression: A method for learning problem-solving heuristics
Bruce W. Porter
Dennis F. Kibler
OriginalPaper Pages: 249 - 285
Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics
Bruce W. Porter
Dennis F. Kibler
OriginalPaper Pages: 249 - 285
Editorial: Human and Machine Learning
Pat Langley
Editorial Commentary Pages: 243 - 248
Editorial: Human and machine learning
Pat Langley
EditorialNotes Pages: 243 - 248
News and Notes
Thomas G. Dietterich
News Pages: 227 - 242
News and notes

News Pages: 227 - 242
A general framework for induction and a study of selective induction
Larry Rendell
OriginalPaper Pages: 177 - 226
A General Framework for Induction and a Study of Selective Induction
Larry Rendell
OriginalPaper Pages: 177 - 226
Explanation-based learning: An alternative view
Gerald Dejong
Raymond Mooney
OriginalPaper Pages: 145 - 176
Explanation-Based Learning: An Alternative View
Gerald Dejong
Raymond Mooney
OriginalPaper Pages: 145 - 176
Editorial: The terminology of machine learning
Pat Langley
EditorialNotes Pages: 141 - 144
Editorial: The Terminology of Machine Learning
Pat Langley
Editorial Commentary Pages: 141 - 144
A Theory of Historical Discovery: The Construction of Componential Models
Jan M. Zytkow
Herbert A. Simon
OriginalPaper Pages: 107 - 137
A theory of historical discovery: The construction of componential models
Jan M. Zytkow
Herbert A. Simon
OriginalPaper Pages: 107 - 137
Induction of Decision Trees
J.R. Quinlan
OriginalPaper Pages: 81 - 106
Induction of decision trees
J. R. Quinlan
OriginalPaper Pages: 81 - 106
Explanation-based generalization: A unifying view
Tom M. Mitchell
Richard M. Keller
Smadar T. Kedar-Cabelli
OriginalPaper Pages: 47 - 80
Explanation-Based Generalization: A Unifying View
Tom M. Mitchell
Richard M. Keller
Smadar T. Kedar-Cabelli
OriginalPaper Pages: 47 - 80
Chunking in Soar: The Anatomy of a General Learning Mechanism
John E. Laird
Paul S. Rosenbloom
Allen Newell
OriginalPaper Pages: 11 - 46
Chunking in Soar: The anatomy of a general learning mechanism
John E. Laird
Paul S. Rosenbloom
Allen Newell
OriginalPaper Pages: 11 - 46
Editorial: On Machine Learning
Pat Langley
Editorial Commentary Pages: 5 - 10
Editorial: On machine learning
Pat Langley
EditorialNotes Pages: 5 - 10

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