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Bayesian Reasoning and Machine Learning/ (Record no. 13378)

MARC details
000 -LEADER
fixed length control field 01605nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241104140852.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241104b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107439955
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency NLU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23rd Ed.
Classification number 006.31
Item number BAR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Barber, David
245 ## - TITLE STATEMENT
Title Bayesian Reasoning and Machine Learning/
Statement of responsibility, etc. By David Barber
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi:
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent 697P;,
Other physical details xxiv,
Dimensions 24cm.
500 ## - GENERAL NOTE
General note CONTENTS<br/>Preface<br/>List of Notation<br/>BRML TOOLBOX<br/><br/>I Inference in Probabilistic Models<br/>1. Probabilistic Reasoning.<br/>2. Basic Graph Concepts.<br/>3. Belief Networks.<br/>4. Graphical Models.<br/>5. Efficient Inference in Trees.<br/>6. The Junction Tree Algorithm.<br/>7. Making Decisions.<br/><br/>II Learning in Probabilistic Model<br/>8. Statistics for Machine Learning.<br/>9. Learning as Inference as Inference.<br/>10. Naive Bayes.<br/>11. Learning With Hidden Variables.<br/>12. Bayesian Model Selection.<br/><br/>III Machine Learning<br/>13. Machine Learning Concepts<br/>14. Nearest Neighbour Classification.<br/>15. unsupervised Linear Dimension Reduction.<br/>16. Supervised Linear Dimension reduction.<br/>17. Linear Models.<br/>18. Bayesian Linear Models.<br/>19. Gaussian Processes.<br/>20. Mixture Models.<br/>21. Latent Linear Models.<br/>22. Latent Ability Models.<br/><br/>IV Dynamical Models.<br/>23. Discrete-State Markov Models.<br/>24. Continuous-State Markov Models.<br/>25. Switching Linear Dynamical Systems.<br/>26. Distributed Computation.<br/><br/>V Approximate Interference.<br/>27. Sampling.<br/>28. Deterministic Approximate Inference.<br/>Includes Appendix, Reference and Index.<br/>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Computer Science Central Library Central Library 22/05/2024   006.31 BAR 4398 04/11/2024 22/05/2024 Books