Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Record no. 51930)
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fixed length control field | 03853nam a22005895i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4614-5104-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420220221.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 121205s2013 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781461451044 |
-- | 978-1-4614-5104-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 519.5 |
100 1# - AUTHOR NAME | |
Author | Kj�rulff, Uffe B. |
245 10 - TITLE STATEMENT | |
Title | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis |
250 ## - EDITION STATEMENT | |
Edition statement | Second Edition. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVIII, 382 p. |
490 1# - SERIES STATEMENT | |
Series statement | Information Science and Statistics, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. Kj�rulff 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. |
700 1# - AUTHOR 2 | |
Author 2 | Madsen, Anders L. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4614-5104-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New York, NY : |
-- | Springer New York : |
-- | Imprint: Springer, |
-- | 2013. |
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-- | txt |
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-- | computer |
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-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical statistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operations research. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Management science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probabilities. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics and Computing/Statistics Programs. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probability and Statistics in Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operations Research, Management Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probability Theory and Stochastic Processes. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1613-9011 ; |
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-- | ZDB-2-SCS |
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