Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science & Data Analysis) - Tapa dura

Libro 9 de 23: Chapman & Hall/CRC Computer Science & Data Analysis

Korb, Kevin B.; Nicholson, Ann E.

 
9781584883876: Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science & Data Analysis)
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ISBN 10: 1584883871 ISBN 13: 9781584883876
Editorial: Chapman and Hall/CRC, 2003

Sinopsis

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors’ website.

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Críticas

"A nice feature of the book is the extensive survey of the available software, much of it downloadable for free on the web. [This book] provides a very solid introduction to BNs for those statisticians who may have heard about BNs but are unfamiliar with their basics. The many examples clearly illustrate the topics, and there are many hints at the broader applications." - Technometrics, Feb. 2005, Vol. 47, No. 1 "This book certainly deserves to be in the library of any institution where undergraduate or graduate courses in computer science are taught, and would also be an excellent resource for anyone who wants to learn more about this cutting-edge area of computing. Summing Up: Essential." - Choice, June 2004, Vol. 41, No. 10" this excellent book would also serve well for final year undergraduate courses in mathematics or statistics and is a solid first reference text for researchers wanting to implement Bayesian belief network (BBN) solutions for practical problems. beautifully presented, nicely written, and made accessible. Mathematical ideas, some quite deep, are presented within the flow but do not get in the way. This has the advantage that students can see and interpret the mathematics in the practical context, whereas practitioners can acquire, to personal taste, the mathematical seasoning. If you are interested in applying BBN methods to real life problems, this book is a good place to start." - Journal of the Royal Statistical Society, Series A., Vol. 157(3)

Reseña del editor

As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors’ website.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2003
Idioma
Inglés
ISBN 10 
1584883871
ISBN 13 
9781584883876
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
392
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781439815915: Bayesian Artificial Intelligence: 2 (Chapman & Hall/CRC Computer Science & Data Analysis)

Edición Destacada

ISBN 10:  1439815917 ISBN 13:  9781439815915
Editorial: CRC Press, 2010
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