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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Buch von Anders L. Madsen (u. a.)
Sprache: Englisch

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Beschreibung
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 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.
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 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.
Über den Autor

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.

Zusammenfassung

Comprehensive introduction to understand, construct, and analyze probabilistic networks

Second Edition features six new sections covering such topics as structure learning and parameter tuning

New appendix offers recommendations and solutions to common problems associated with model building

Written specifically for practitioners of applied artificial intelligence

Inhaltsverzeichnis
Introduction.- Networks.- Probabilities.- Probabilistic Networks.- Solving Probabilistic Networks.- Eliciting the Model.- Modeling Techniques.- Data-Driven Modeling.- Conflict Analysis.- Sensitivity Analysis.- Value of Information Analysis.- Quick Reference to Model Construction.- List of Examples.- List of Figures.- List of Tables.- List of Symbols.- References.- Index.
Details
Erscheinungsjahr: 2012
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 400
Reihe: Information Science and Statistics
Inhalt: xviii
382 S.
ISBN-13: 9781461451037
ISBN-10: 1461451035
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Madsen, Anders L.
Kjærulff, Uffe B.
Auflage: 2nd ed. 2013
Hersteller: Springer New York
Springer US, New York, N.Y.
Information Science and Statistics
Maße: 241 x 160 x 25 mm
Von/Mit: Anders L. Madsen (u. a.)
Erscheinungsdatum: 29.11.2012
Gewicht: 0,764 kg
preigu-id: 106144035
Über den Autor

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.

Zusammenfassung

Comprehensive introduction to understand, construct, and analyze probabilistic networks

Second Edition features six new sections covering such topics as structure learning and parameter tuning

New appendix offers recommendations and solutions to common problems associated with model building

Written specifically for practitioners of applied artificial intelligence

Inhaltsverzeichnis
Introduction.- Networks.- Probabilities.- Probabilistic Networks.- Solving Probabilistic Networks.- Eliciting the Model.- Modeling Techniques.- Data-Driven Modeling.- Conflict Analysis.- Sensitivity Analysis.- Value of Information Analysis.- Quick Reference to Model Construction.- List of Examples.- List of Figures.- List of Tables.- List of Symbols.- References.- Index.
Details
Erscheinungsjahr: 2012
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 400
Reihe: Information Science and Statistics
Inhalt: xviii
382 S.
ISBN-13: 9781461451037
ISBN-10: 1461451035
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Madsen, Anders L.
Kjærulff, Uffe B.
Auflage: 2nd ed. 2013
Hersteller: Springer New York
Springer US, New York, N.Y.
Information Science and Statistics
Maße: 241 x 160 x 25 mm
Von/Mit: Anders L. Madsen (u. a.)
Erscheinungsdatum: 29.11.2012
Gewicht: 0,764 kg
preigu-id: 106144035
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