MARC details
| 000 -LEADER |
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| fixed length control field |
03438nam a2200301 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000055493 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125093021.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
110912t2010 flua f 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781439815915 (hardback) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201207091552 |
| Level of effort used to assign nonsubject heading access points |
Fida |
| Level of effort used to assign subject headings |
201206291620 |
| Level of effort used to assign classification |
asmadi |
| Level of effort used to assign subject headings |
201206081059 |
| Level of effort used to assign classification |
asmadi |
| Level of effort used to assign subject headings |
201205141141 |
| Level of effort used to assign classification |
asmadi |
| -- |
201109121230 |
| -- |
safura |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
QA279.5 .K67 2010 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Korb, Kevin B. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Bayesian artificial intelligence / |
| Statement of responsibility, etc. |
Kevin B. Korb, Ann E. Nicholson |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton, FL : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
c2010 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxvii, 463 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & hall/crc computer science & data analysis ; |
| Volume/sequential designation |
16 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"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"-- |
| Assigning source |
Provided by publisher |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. The book also offers more coverage on the uses of causal interventions to understand and reason with causal Bayesian networks. Supplemental materials are available on the book’s website"-- |
| Assigning source |
Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Bayesian statistical decision theory |
| General subdivision |
Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) |
| 942 00 - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha issues (borrowed), all copies |
1 |