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Item Details
Title: LOGIC FOR LEARNING
LEARNING COMPREHENSIBLE THEORIES FROM STRUCTURED DATA
By: John W. Lloyd
Format: Paperback

List price: £44.99
Our price: £39.37
Discount:
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You save: £5.62
ISBN 10: 3642075533
ISBN 13: 9783642075537
Availability: Usually dispatched within 1-3 weeks.
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Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 22 October, 2010
Edition: Softcover reprint of hardcover 1st ed. 2003
Series: Cognitive Technologies
Pages: 257
Synopsis: This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.
Illustrations: biography
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
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