Learning bayesian networks (Record no. 387635)
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000 -LEADER | |
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fixed length control field | 01642cam a22001937a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 040109s2004 njua b 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780130125347 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.542 |
Item number | N3L3 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Neapolitan, Richard E. |
9 (RLIN) | 206487 |
245 10 - TITLE STATEMENT | |
Title | Learning bayesian networks |
Statement of responsibility, etc. | Neapolitan, Richard E. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Upper Saddle River |
Name of publisher, distributor, etc. | Pearson Prentice Hall |
Date of publication, distribution, etc. | 2004 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xv, 674 p. |
440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Prentice Hall Series in Artificial Intelligence |
9 (RLIN) | 313334 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | For courses in Bayesian Networks or Advanced Networking focusing on Bayesian networks found in departments of Computer Science, Computer Engineering and Electrical Engineering. Also appropriate as a supplementary text in courses on Expert Systems, Machine Learning, and Artificial Intelligence where the topic of Bayesian Networks is covered.<br/>This book provides an accessible and unified discussion of Bayesian networks. It includes discussions of topics related to the areas of artificial intelligence, expert systems and decision analysis, the fields in which Bayesian networks are frequently applied. The author discusses both methods for doing inference in Bayesian networks and influence diagrams. The book also covers the Bayesian method for learning the values of discrete and continuous parameters. Both the Bayesian and constraint-based methods for learning structure are discussed in detail.<br/>(http://www.pearsonhighered.com/educator/product/Learning-Bayesian-Networks/9780130125347.page) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Bayesian statistical decision theory |
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 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | Non-fiction | Ahmedabad | Ahmedabad | General Stacks | 05/02/2015 | Amazon.in | 10298.40 | 4 | 8 | 519.542 N3L3 | 188662 | 04/03/2019 | 31/07/2018 | 11260.00 | 05/02/2015 | Book |