Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 67,58
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 94,28
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In den WarenkorbPaperback. Zustand: Brand New. 177 pages. 9.00x7.50x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3031004558 ISBN 13: 9783031004551
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Sprache: Englisch
Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 162705197X ISBN 13: 9781627051972
Anbieter: Studibuch, Stuttgart, Deutschland
paperback. Zustand: Gut. 192 Seiten; 9781627051972.3 Gewicht in Gramm: 500.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Reasoning with Probabilistic and Deterministic Graphical Models | Exact Algorithms, Second Edition | Rina Dechter | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xiv | Englisch | 2019 | Springer | EAN 9783031004551 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 162705197X ISBN 13: 9781627051972
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Deutschland
Zustand: gut. 2013. Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning, 23, Band 23) In englischer Sprache. pages.