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The Resource Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource)
Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource)
Resource Information
The item Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 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 fullyupdated 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
 Language
 eng
 Edition
 2nd ed.
 Extent
 1 online resource.
 Contents

 Introduction
 Networks
 Probabilities
 Probabilistic Networks
 Solving Probabilistic Networks
 Eliciting the Model
 Modeling Techniques
 DataDriven 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
 Isbn
 9781461451044
 Label
 Bayesian networks and influence diagrams : a guide to construction and analysis
 Title
 Bayesian networks and influence diagrams
 Title remainder
 a guide to construction and analysis
 Statement of responsibility
 Uffe B. Kjræulff, Anders L. Madsen
 Subject

 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Bayes Theorem
 Mathematical statistics.
 Distribution (Probability theory).
 Bayes Theorem
 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Statistics and Computing/Statistics Programs.
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Uncertainty
 Uncertainty (Information theory)
 Statistics.
 Operations Research, Management Science.
 Artificial intelligence.
 Electronic resources
 Uncertainty (Information theory)
 Bayesian statistical decision theory
 Computer science.
 Probability and Statistics in Computer Science.
 MATHEMATICS / Probability & Statistics / Bayesian Analysis
 Probability Theory and Stochastic Processes.
 Bayesian statistical decision theory
 Uncertainty
 Data mining.
 Bayesian statistical decision theory
 Language
 eng
 Summary
 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 fullyupdated 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
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Kjræulff, Uffe B
 Image bit depth
 0
 LC call number
 QA279.5
 LC item number
 .K53 2013
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 SpringerLink
 Madsen, Anders L
 Series statement
 Information Science and Statistics,
 Series volume
 22
 http://library.link/vocab/subjectName

 Bayes Theorem
 Uncertainty
 Bayesian statistical decision theory
 Uncertainty (Information theory)
 MATHEMATICS / Probability & Statistics / Bayesian Analysis
 Bayesian statistical decision theory
 Uncertainty (Information theory)
 Label
 Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 Color
 not applicable
 Contents
 Introduction  Networks  Probabilities  Probabilistic Networks  Solving Probabilistic Networks  Eliciting the Model  Modeling Techniques  DataDriven 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
 Dimensions
 unknown
 Edition
 2nd ed.
 Extent
 1 online resource.
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781461451044
 Level of compression
 uncompressed
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)822966119
 (OCoLC)ocn822966119
 Label
 Bayesian networks and influence diagrams : a guide to construction and analysis, Uffe B. Kjræulff, Anders L. Madsen, (electronic resource)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 Color
 not applicable
 Contents
 Introduction  Networks  Probabilities  Probabilistic Networks  Solving Probabilistic Networks  Eliciting the Model  Modeling Techniques  DataDriven 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
 Dimensions
 unknown
 Edition
 2nd ed.
 Extent
 1 online resource.
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781461451044
 Level of compression
 uncompressed
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)822966119
 (OCoLC)ocn822966119
Subject
 Artificial intelligence.
 Bayes Theorem
 Bayes Theorem
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Bayesian statistical decision theory
 Computer science.
 Data mining.
 Distribution (Probability theory).
 Electronic resources
 MATHEMATICS / Probability & Statistics / Bayesian Analysis
 Mathematical statistics.
 Operations Research, Management Science.
 Probability Theory and Stochastic Processes.
 Probability and Statistics in Computer Science.
 Statistics and Computing/Statistics Programs.
 Statistics.
 Uncertainty
 Uncertainty
 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Uncertainty (Information theory)
 Uncertainty (Information theory)
Member of
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