MARC details
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03131nam a2200397Ia 4500 |
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CRC0KE10748PDF |
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FlBoTFG |
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20120525154058.0 |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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110413s2011 fluad sb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781439815922 (ebook : PDF) |
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FlBoTFG |
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FlBoTFG |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER |
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QA279.5 |
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.K67 2011 |
| 092 ## - |
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519.542 |
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K841 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Korb, Kevin B. |
| 245 10 - TITLE STATEMENT |
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| Title |
Bayesian artificial intelligence |
| Statement of responsibility, etc |
Kevin B. Korb, Ann E. Nicholson. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
Boca Raton, Fla. : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
2011. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxvii, 463 p. : |
| Other physical details |
ill. |
| 500 ## - GENERAL NOTE |
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| General note |
"A Chapman & Hall book." |
| 505 0# - |
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| Formatted contents note |
1. Probabilistic reasoning -- 2. Learning causal models -- 3. Knowledge engineering. |
| 650 #0 - |
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| Topical term or geographic name as entry element |
Bayesian statistical decision theory |
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| Topical term or geographic name as entry element |
Machine learning. |
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| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| 700 1# - |
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| Personal name |
Nicholson, Ann E. |
| 856 40 - |
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| Uniform Resource Identifier |
http://marc.crcnetbase.com/isbn/9781439815922 |
| 245 10 - TITLE STATEMENT |
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[electronic resource] / |
| 490 1# - |
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Chapman & Hall/CRC computer science & data analysis ; |
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16 |
| 504 ## - |
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Includes bibliographical references (p. 417-452) and index. |
| 520 ## - |
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"Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology. New to the Second Edition New chapter on Bayesian network classifiers New section on object-oriented Bayesian networks New section that addresses foundational problems with causal discovery and Markov blanket discovery New section that covers methods of evaluating causal discovery programs Discussions of many common modeling errors New applications and case studies More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks Illustrated with real case studies, the second edition of this bestseller continues to cover the groundwork of Bayesian networks. It presents the elements of Bayesian network technology, automated causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems. Web Resource The books website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials, including example Bayesian networks and data sets. Instructors can email the authors for sample solutions to many of the problems in the text"-- |
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Provided by publisher. |
| 530 ## - |
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Also available in print edition. |
| 538 ## - |
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Mode of access: World Wide Web. |
| 650 #0 - |
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Data processing. |
| 655 #7 - |
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Electronic books. |
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lcsh |
| 776 1# - |
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9781439815915 |
| 830 #0 - |
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Series in computer science and data analysis. |
| 856 40 - |
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application/PDF |
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Distributed by publisher. Purchase or institutional license may be required for access. |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
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0 |
