Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Anders L. Madsen

ISBN 10: 1441925465 / ISBN 13: 9781441925466

Edité par Springer New York, Springer US, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.

N° de réf. du vendeur 9781441925466

Détails bibliographiques

• Titre: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
• Éditeur: Springer New York, Springer US
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441925465
• ISBN à 13 chiffres: 9781441925466
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 19 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 19 millimètres de profondeur
• Poids: 517 grammes

A propos de ce titre

Synopsis

Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence. This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his/her level of understanding. Many of the techniques and methods presented have been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.

Présentation de l'éditeur

This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.