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Bayesian networks and influence diagrams : a guide to construction and analysis

Probabilistic networks have become one of the promising technologies in the area of applied artificial intelligence. This title provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks.

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  • "Probabilistic networks have become one of the promising technologies in the area of applied artificial intelligence. This title provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks."@en
  • "Probabilistic networks have become one of the promising technologies in the area of applied artificial intelligence. This title provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks."
  • "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition,provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. 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 or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models fromdata, and analyses of models have all been developed and refined based on numerous courses the authorshaveheld for practitioners worldwide.Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsenof HUGIN EXPERT A/Sholds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University."
  • "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition,℗¡provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix.℗¡ 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 or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from℗¡data, and analyses of models have all been developed and refined based on numerous courses the authors℗¡have℗¡held for practitioners worldwide.℗¡℗¡ Uffe B. Kjaerulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen℗¡of HUGIN EXPERT A/S℗¡holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University."
  • "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. 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 or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined based on numerous courses the authors have held for practitioners worldwide. Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen of HUGIN EXPERT A/S holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University."
  • "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. 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 or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined based on numerous courses the authors have held for practitioners worldwide. Uffe B. Kjaerulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen of HUGIN EXPERT A/S holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University."

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  • "Ressources Internet"
  • "Online-Publikation"
  • "Electronic books"
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  • "Bayesian networks and influence diagrams: a guide to construction and analysis"
  • "Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis"
  • "Bayesian networks and influence diagrams : a guide to construction and analysis"@en
  • "Bayesian networks and influence diagrams : a guide to construction and analysis"
  • "Bayesian Networks and Influence Diagrams : A Guide to Construction and Analysis"
  • "Bayesian Networks and Influence Diagrams"
  • "Bayesian Networks and Influence Diagrams: a Guide to Construction and Analysis A Guide to Construction and Analysis"@en
  • "Bayesian Networks and Influence Diagrams a Guide to Construction and Analysis"@en
  • "Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis"
  • "Bayesian networks and influence diagrams a guide to construction and analysis"
  • "Bayesian networks and influence diagrams a guide to construction and analysis"@en

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