Central Library, IISER Berhampur

Pattern recognition and machine learning (Record no. 4110)

MARC details
000 -LEADER
fixed length control field 02327nam a2200325Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250410020503.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240709s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781493938438 (pbk.)
Terms of availability € 74.99
040 ## - CATALOGING SOURCE
Language of cataloging ENG
Transcribing agency IISER-BPR
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number BIS
Edition number 23rd
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bishop, Christopher M.
9 (RLIN) 993
222 ## - KEY TITLE
Key title Computer Sciences
245 #0 - TITLE STATEMENT
Title Pattern recognition and machine learning
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York:
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc c2006.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 738p. :
Other physical details ill(col.). ;
Dimensions 25cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Information Science and Statistics
9 (RLIN) 994
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes colored illustrations, appendices, bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Special Computer Methods
9 (RLIN) 995
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence
9 (RLIN) 996
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition
9 (RLIN) 997
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
9 (RLIN) 998
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Koha issues (borrowed), all copies 3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
947 ## - LOCAL PROCESSING INFORMATION (OCLC)
a 7645.7004
948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN)
Series part designator, SPT (RLIN) 0.22
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Vigyanpuri Campus Vigyanpuri Campus 12/08/2024 44 5321.00 3 5 006.31 BIS 007166 10/05/2025 09/04/2025 6821.84 12/08/2024 Books