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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
From the reviews of the third edition:
"John has tried his hand at machine learning, and his aim in Logic for Learning is to demonstrate ‘the rich and fruitful interplay between the fields of computational logic and machine learning’. ... As such, the book is more geared towards computational logicians who are interested in machine learning ... . The book can also be used as a textbook in a mathematically oriented advanced graduate course. ... it is indeed great stuff, which deserves to be taken serious by any computational logician ... ." (Peter Flach, TLP – Theory and Practice of Logic Programming, Issue 4, 2004)
From the reviews:
"This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. It is aimed at researchers, graduate students, and senior undergraduates working in computational logic and/or machine learning." (PHINEWS, Vol. 3, April, 2003)
1. Introduction.- 2. Logic.- 3. Individuals.- 4. Predicates.- 5. Computation.- 6. Learning.- A. Appendix.- A.1 Well-Founded Sets.- References.- Notation.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Codice articolo G3540420274I4N00
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hardcover. Condizione: Good. Hardcover ex-library with typical marks shows moderate cover wear. Text is unmarked. Ships FAST! Codice articolo 2411200017
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Da: Amazing Books Pittsburgh, Pittsburgh, PA, U.S.A.
hardcover. Condizione: Very Good. prev owners name on first page in pen. otherwise clean, sturdy, and unmarked - rw. Codice articolo Sq39502
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Da: Anybook.com, Lincoln, Regno Unito
Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9783540420279. Codice articolo 3718243
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Da: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germania
2003. 267 p. Unread book. Like new. 9783540420279 Sprache: Englisch Gewicht in Gramm: 522 Hardcover: 23.4 x 1.6 x 15.6 cm. Codice articolo 201575
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 980623
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Da: Literary Cat Books, Machynlleth, Powys, WALES, Regno Unito
Hardcover. Condizione: Near Fine. Condizione sovraccoperta: No Dust Jacket. (?); (?). This textbook presents a systematic approach to knowledge representation, computation, and learning using higher-order logic. It is aimed at researchers, graduate students, and senior undergraduates working in computational logic and/or machine learning. The book does not assume previous knowledge of either field. It is part of the Springer series Cognitive Technologies, which addresses subjects including natural-language processing, high-level computer vision, cognitive robotics, automated reasoning, and knowledge representation. ; 16x23.5x2cm; 267 pages. Codice articolo 64612
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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