Learning bayesian networks (Record no. 387635)

MARC details
000 -LEADER
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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date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
    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

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