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Condition: good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.
Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
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Hardback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
Condition: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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Language: English
Published by College Publications 2/5/2010, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Heuristics, Probability and Causality. a Tribute to Judea Pearl. Book.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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Condition: New.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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Condition: New.
Language: English
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 162705197X ISBN 13: 9781627051972
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paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Language: English
Published by College Publications, 2010
ISBN 10: 1904987664 ISBN 13: 9781904987666
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by College Publications, GB, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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Add to basketPaperback. Condition: New.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Language: English
Published by College Publications, 2010
ISBN 10: 1904987656 ISBN 13: 9781904987659
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First Edition
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Language: English
Published by Springer International Publishing AG, Cham, 2019
ISBN 10: 3031004558 ISBN 13: 9783031004551
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Paperback. Condition: new. Paperback. Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art.This book provides comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. The new edition includes the notion of influence diagrams, which focus on sequential decision making under uncertainty. We believe the principles outlined in the book would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond. Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Add to basketPaperback. Condition: Brand New. 177 pages. 9.00x7.50x0.50 inches. In Stock.
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