Probabilistic Graphical Models : (Record no. 190477)

000 -LEADER
fixed length control field 01918 a2200313 4500
003 - CONTROL NUMBER IDENTIFIER
control field Nust
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801124027.0
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2009008615
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0-262-01319-3 (hardcover : alk. paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-0-262-01319-2 (hardcover : alk. paper)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)ocn311310322
035 ## - SYSTEM CONTROL NUMBER
System control number DAW12537823
040 ## - CATALOGING SOURCE
Transcribing agency Nust
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.54202,KOL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Koller, Daphne
9 (RLIN) 96035
245 10 - TITLE STATEMENT
Title Probabilistic Graphical Models :
Remainder of title Principles and Techniques /
Statement of responsibility, etc. Daphne Koller, Nir Friedman
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, MA :
Name of publisher, distributor, etc. MIT Press,
Date of publication, distribution, etc. cop. 2009
300 ## - PHYSICAL DESCRIPTION
Extent xxxv, 1231 s. :
Other physical details ill.
490 0# - SERIES STATEMENT
Series statement Adaptive computation and machine learning
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction (Page-1), Foundations (Page-15), Bayesian Network Representation (Page-45), Undirected Graphical Models (Page-103), Local Probabilistic Models (Page-157), Template-Based Representations (Page-199), Gaussian Network Models (Page-247), Exponential Family (Page-261), Exact Inference: Variable Elimination (Page-287), Exact Inference: Clique Trees (Page-345), Inference as Optimization (Page-381), Particle-Based Approximate Inference (Page-487), MAP Inference (Page-551), Inference in Hybrid Networks (Page-605), Inference in Temporal Models (Page-651), Learning Graphical Models: Overview (Page-697), Parameter Estimation (Page-717), Structure Learning in Bayesian Networks (Page-783), Partially Observed Data (Page-849), Learning Undirected Models (Page-943), Causality (Page-1009), Utilities and Decisions (Page-1059), Structured Decision Problems (Page-1085),
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian statistical decision theory
General subdivision Graphic methods.
9 (RLIN) 96036
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Beslutsteori
General subdivision matematisk statistik
9 (RLIN) 96037
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Graphical modeling (Statistics)
9 (RLIN) 96038
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability
9 (RLIN) 225
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sannolikhetskalkyl
9 (RLIN) 95846
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistisk inferens
9 (RLIN) 96039
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Friedman, Nir
9 (RLIN) 96040
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Reference
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type Public note
          Military College of Signals (MCS) Military College of Signals (MCS) Reference 12/12/2016 519.54202,KOL MCS36065 12/08/2016 12/12/2016 Reference Almirah No.19, Shelf No.5
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