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2011, ISBN: 9780470527016
Gebunden, 486 Seiten, 240mm x 161mm x 31mm, Sprache(n): eng This book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide appli… Más…
ISBN: 9780470527016
This book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide application area, showing that all these tasks can be performed b… Más…
2011
ISBN: 9780470527016
Pasta dura
[ED: Gebunden], [PU: Wiley & Sons Wiley], This book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide application area, showi… Más…
2011, ISBN: 9780470527016
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[ED: Gebunden], [PU: John Wiley & Sons], Marc Pouly, PhD, received the Award for Outstanding PhD Thesis in Computer Science at the University of Fribourg (Switzerland), in 2008. He was vi… Más…
2011, ISBN: 0470527013
Gebundene Ausgabe Diskret (mathematisch), TECHNOLOGY & ENGINEERING / Electronics / General, mit Schutzumschlag 11, [PU:John Wiley & Sons]
Datos bibliográficos del mejor libro coincidente
Detalles del libro - Generic Inference: A Unifying Theory for Automated Reasoning
EAN (ISBN-13): 9780470527016
ISBN (ISBN-10): 0470527013
Tapa dura
Año de publicación: 2011
Editorial: John Wiley & Sons Inc
452 Páginas
Peso: 0,874 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2009-08-07T10:04:08-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-10-29T01:58:46-06:00 (Mexico City)
ISBN/EAN: 9780470527016
ISBN - escritura alterna:
0-470-52701-3, 978-0-470-52701-6
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: kohla, kohlas jürg
Título del libro: automated reasoning, generic
Datos del la editorial
Autor: Marc Pouly; Juerg Kohlas
Título: Generic Inference - A Unifying Theory for Automated Reasoning
Editorial: John Wiley & Sons
484 Páginas
Año de publicación: 2011-05-10
Peso: 0,898 kg
Idioma: Inglés
112,00 € (DE)
No longer receiving updates
162mm x 243mm x 30mm
BB; gebunden; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik, Nachrichtentechnik; Decision Sciences; Diskrete Mathematik; Intelligent Systems & Agents; Business & Management; Wirtschaft u. Management; Discrete Mathematics; Intelligente Systeme u. Agenten; Electrical & Electronics Engineering; Elektrotechnik u. Elektronik; Theorie der Entscheidungsfindung; Mathematics; Mathematik; Intelligente Systeme u. Agenten; Diskrete Mathematik; Theorie der Entscheidungsfindung
A Rigorous Algebraic Study of the Most Popular Inference Formalisms This unique text provides a complete algebraic and algorithmic study of generic inference methods that are derived from the general valuation algebra framework, with special focus on the many practical applications in computer science. Written by the leading international authorities on the topic, Generic Inference is divided into three parts: * Part I defines the valuation algebra framework and gives a first catalog of practically important examples; explains the generic inference problem and surveys fundamental applications that require the solution of such problems with knowledge bases from different valuation algebras; develops generic algorithms for the solution of single- and multiple-query inference problems with arbitrary valuation algebras; and discusses issues related to complexity and optimization * Part II identifies several important families of valuation algebras derived from other mathematical structures--including soft constraints, path problems, linear systems, and logical structures--and uncovers the close relationship between valuation algebras and semiring theory * Part III discusses various applications of generic inference, with chapters dedicated to dynamic optimization, sparse matrix techniques, and linear systems with stochastic disturbances The text is accompanied by a large number of examples; at the end of every chapter are selected exercises and open research problems. A comprehensive bibliography on valuation algebras and local computation is provided, and all algorithms are developed mathematically and given in pseudo-code. Generic Inference is designed for researchers in a number of fields, including artificial intelligence, operational research, databases, and other areas of computer science; graduate students and other researchers interested in general reasoning frameworks; and professional programmers of inference methods.Más, otros libros, que pueden ser muy parecidos a este:
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