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An introduction to computational learning theory

By: Kearns, Michael J.
Contributor(s): Vazirani, Umesh Virkumar.
Material type: materialTypeLabelBookPublisher: Cambridge, Mass. : MIT Press, ©1994Description: xii, 207 p. : ill. ; 24 cm.ISBN: 9780262111935.Subject(s): Machine learning | Artificial intelligence | Algorithms | Neural networks (Computer science)
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books IIITD
Computer Science and Engineering REF 006.3 KEA-I (Browse shelf) Available 004643
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REF 006.3 HAN-P Principles of data mining REF 006.3 HAR-M Machine learning in action REF 006.3 JAN-A Analyzing evolutionary algorithms : REF 006.3 KEA-I An introduction to computational learning theory REF 006.3 KRU-C Computational intelligence : REF 006.3 MES-G Graph theoretic methods in multiagent networks REF 006.3 NEA-C Contemporary artificial intelligence

Includes bibliographical references (p. [193]-203) and index.

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