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Features include:
This book will prove a valuable resource for postgraduatestudents of statistics, computer engineering, mathematics, datamining, artificial intelligence, and biology.
Researchers and users of comparable modelling or statisticaltechniques such as neural networks will also find this book ofinterest.
"Extensively tested in classroom teaching .The authorsclearly define all concepts and provide numerous examples andexercises." (Book News, December 2009)
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Description du livre Etat : new. N° de réf. du vendeur ff66801e9247cde7d45cc85bb06ce34b
Description du livre hardback. Etat : New. Language: ENG. N° de réf. du vendeur 9780470743041
Description du livre Etat : New. N° de réf. du vendeur 5749885-n
Description du livre Etat : New. N° de réf. du vendeur 5749885-n
Description du livre HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FW-9780470743041
Description du livre Hardcover. Etat : new. Hardcover. Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include: An introduction to Dirichlet Distribution, Exponential Families and their applications.A detailed description of learning algorithms and Conditional Gaussian Distributions using Junction Tree methods.A discussion of Pearl's intervention calculus, with an introduction to the notion of see and do conditioning.All concepts are clearly defined and illustrated with examples and exercises. Solutions are provided online. This book will prove a valuable resource for postgraduate students of statistics, computer engineering, mathematics, data mining, artificial intelligence, and biology. Researchers and users of comparable modelling or statistical techniques such as neural networks will also find this book of interest. Bayesian networks have found application in a number of fields, including risk analysis, consumer help desks, tissue pathology, pattern recognition, credit assessment, computer network diagnosis, and artificial intelligence. Bayesian Networks is a self-contained introduction to the theory and applications of Bayesian networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470743041
Description du livre Etat : New. Bayesian networks have found application in a number of fields, including risk analysis, consumer help desks, tissue pathology, pattern recognition, credit assessment, computer network diagnosis, and artificial intelligence. Bayesian Networks is a self-contained introduction to the theory and applications of Bayesian networks. Series: Wiley Series in Probability and Statistics. Num Pages: 366 pages, Illustrations. BIC Classification: PBT. Category: (U) Tertiary Education (US: College); (UU) Undergraduate. Dimension: 253 x 176 x 26. Weight in Grams: 788. . 2009. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470743041
Description du livre Hardcover. Etat : Brand New. 1st edition. 366 pages. 10.00x6.75x1.00 inches. In Stock. N° de réf. du vendeur __0470743042
Description du livre Etat : New. Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The m. N° de réf. du vendeur 556557995
Description du livre Etat : New. Bayesian networks have found application in a number of fields, including risk analysis, consumer help desks, tissue pathology, pattern recognition, credit assessment, computer network diagnosis, and artificial intelligence. Bayesian Networks is a self-contained introduction to the theory and applications of Bayesian networks. Series: Wiley Series in Probability and Statistics. Num Pages: 366 pages, Illustrations. BIC Classification: PBT. Category: (U) Tertiary Education (US: College); (UU) Undergraduate. Dimension: 253 x 176 x 26. Weight in Grams: 788. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780470743041