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024 7 $a10.1007/978-1-4614-5104-4
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035   $a(EBL)1030496
035   $a(OCoLC)823384880
035   $a(SSID)ssj0000810487
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035   $a(PQKBTitleCode)TC0000810487
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035   $a(DE-He213)978-1-4614-5104-4
035   $a(MiAaPQ)EBC1030496
035   $a(PPN)168302047
035   $a(EXLCZ)992670000000299658
100   $a20121205d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBayesian Networks and Influence Diagrams: A Guide to Construction and Analysis /$fby Uffe B. Kjærulff, Anders L. Madsen
205   $a2nd ed. 2013.
210  1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013.
215   $a1 online resource (387 p.)
225 1 $aInformation Science and Statistics,$x1613-9011 ;$v22
300   $aDescription based upon print version of record.
311   $a1-4939-0029-3 
311   $a1-4614-5103-5 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- 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.
330   $aBayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix.  Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented on model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined based on numerous courses the authors have held for practitioners worldwide.   Uffe B. Kjærulff holds a PhD on probabilistic networks and is an Associate Professor of Computer Science at Aalborg University. Anders L. Madsen of HUGIN EXPERT A/S holds a PhD on probabilistic networks and is an Adjunct Professor of Computer Science at Aalborg University.
410  0$aInformation Science and Statistics,$x1613-9011 ;$v22
606   $aStatistics 
606   $aMathematical statistics
606   $aData mining
606   $aArtificial intelligence
606   $aOperations research
606   $aManagement science
606   $aProbabilities
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
615  0$aStatistics .
615  0$aMathematical statistics.
615  0$aData mining.
615  0$aArtificial intelligence.
615  0$aOperations research.
615  0$aManagement science.
615  0$aProbabilities.
615 14$aStatistics and Computing/Statistics Programs.
615 24$aProbability and Statistics in Computer Science.
615 24$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
615 24$aOperations Research, Management Science.
615 24$aProbability Theory and Stochastic Processes.
676   $a003.54
700   $aKjærulff$b Uffe B$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058330
702   $aMadsen$b Anders L$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910437602803321
996   $aBayesian Networks and Influence Diagrams: A Guide to Construction and Analysis$92499254
997   $aUNINA