An edition of Concept formation (1991)

Concept formation

knowledge and experience in unsupervised learning

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Last edited by ImportBot
August 14, 2019 | History
An edition of Concept formation (1991)

Concept formation

knowledge and experience in unsupervised learning

  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Pat Langley is a research scientist at NASA Ames Research Center, where he carries out research on machine learning and intelligent agents. Before coming to NASA, Dr. Langley was an Associate Professor of Computer Science at the University of California, Irvine, and a Research Scientist at Carnegie Mellon University, where he received his PhD in cognitive psychology. Dr. Langley has published papers on a variety of topics including scientific discovery, concept formation, heuristics learning, motor learning, and language acquisition. He is co-author or editor of three other books. Dr. Langley serves as an editor of the journal Machine Learning and as director of the Institute for the Study of Learning and Expertise.

Publish Date
Language
English
Pages
472

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Previews available in: English

Edition Availability
Cover of: Concept Formation
Concept Formation: Knowledge and Experience in Unsupervised Learning
2014, Elsevier Science & Technology Books
in English
Cover of: Concept Formation
Concept Formation: Knowledge and Experience in Unsupervised Learning (Morgan Kaufmann Series in Machine Learning)
July 1991, Morgan Kaufmann Publishers
Hardcover in English
Cover of: Concept formation
Concept formation: knowledge and experience in unsupervised learning
1991, Morgan Kaufmann Publishers
in English
Cover of: Concept Formation
Concept Formation: Knowledge and Experience in Unsupervised Learning
1991, Elsevier Science & Technology Books
in English

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Book Details


Table of Contents

I. Inductive Approaches to Concept Formation. 1. Computational Models of Concept Learning / Doug Fisher and Michael Pazzani. 2. An Incremental Bayesian Algorithm for Categorization / John R. Anderson and Michael Matessa. 3. Representational Specificity and Concept Learning / Joel D. Martin and Dorrit Billman. 4. Discrimination Net Models of Concept Formation / Howard B. Richman. 5. Concept Formation in Structured Domains / Kevin Thompson and Pat Langley
II. Knowledge and Experience in Concept Formation. 6. Theory-Guided Concept Formation / Doug Fisher and Michael Pazzani. 7. Explanation-Based Learning as Concept Formation / Raymond J. Mooney. 8. Some Influences of Instance Comparisons on Concept Formation / Brian H. Ross and Thomas L. Spalding. 9. Harpoons and Long Sticks: The Interaction of Theory and Similarity in Rule Induction / Edward J. Wisniewski and Douglas L. Medin. 10. Concept Formation over Problem-Solving Experience / Jungsoon Yoo and Doug Fisher
III. The Utility of Concept Formation in Intelligent Behavior. 11. Concept Formation in Context / Doug Fisher and Michael Pazzani. 12. The Formation and Use of Abstract Concepts in Design / Yoram Reich and Steven J. Fenves. 13. Learning to Recognize Movements / Wayne Iba and John H. Gennari. 14. Representation Generation in an Exploratory Learning System / Paul D. Scott and Shaul Markovitch. 15. A Computational Account of Children's Learning About Number Conservation / Tony Simon, Allen Newell and David Klahr.

Edition Notes

Includes bibliographical references and index.

Published in
San Mateo, Calif

Classifications

Dewey Decimal Class
006.3/1

The Physical Object

Pagination
xvi, 472 p. :
Number of pages
472

ID Numbers

Open Library
OL17840742M
Internet Archive
conceptformation0000unse
ISBN 10
1558602011
LCCN
91025590
Library Thing
6949980
Goodreads
1262759

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August 14, 2019 Edited by ImportBot import existing book
July 31, 2019 Edited by MARC Bot associate edition with work OL17975532W
November 17, 2018 Created by MARC Bot import existing book