Probabilistic Graphical Models : (Record no. 6645)

MARC details
000 -LEADER
fixed length control field 01455nam a2200181 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251016145731.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251008b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030619459
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.54
Item number SucP
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Sucar, Luis Enrique
245 ## - TITLE STATEMENT
Title Probabilistic Graphical Models :
Remainder of title Principles and Applications /
Statement of responsibility, etc Luis Enrique Sucar
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer :
Place of publication Nature Switzerland ,
Year of publication ©2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxviii,354p.
490 ## - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition
520 ## - SUMMARY, ETC.
Summary, etc This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. It features new material on partially observable Markov decision processes, causal graphical models, causal discovery and deep learning, as well as an even greater number of exercises; it also incorporates a software library for several graphical models in Python. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Print Price Bill Date/Price effective from Koha item type
      Mathematics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 07/10/2025 Shah Book House 3570.68 SBH/28599 003.54 SucP (12187) 12187 5100.97 07/10/2025 Books