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Published by Information Science Reference, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by IGI Global, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Book
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Information Science Reference, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Hardcover. Condition: Like New. Like New. book.
Published by IGI Global, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Book
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Information Science Reference, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Information Science Reference, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 1st edition. 410 pages. 11.00x8.50x1.00 inches. In Stock.
Published by Information Science Reference, 2011
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisArtificial intelligence Commonsense reasoning Coordination of commonsense reasoning operations Expert system generation Deductive-inductive commonsense reasoning Human commonsense reasoning processes Knowledge in the ps.
Published by Information Science Reference, 2009
ISBN 10: 1605668109ISBN 13: 9781605668109
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications. Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning.