Bayesian reasoning and machine learning / (Record no. 72449)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01903nam a2200253 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000070595 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251125095539.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130605t2012 enka f 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780521518147 |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201403051239 |
| Level of effort used to assign nonsubject heading access points | saini |
| -- | 201306051041 |
| -- | hairil |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA267 .B37 2012 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Barber, David |
| 245 10 - TITLE STATEMENT | |
| Title | Bayesian reasoning and machine learning / |
| Statement of responsibility, etc. | David Barber |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cambridge : |
| Name of publisher, distributor, etc. | Cambridge University Press, |
| Date of publication, distribution, etc. | 2012 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiv, 697 p. : |
| Other physical details | ill. ; |
| Dimensions | 25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine generated contents note: Preface; Part I. Inference in Probabilistic Models: 1. Probabilistic reasoning; 2. Basic graph concepts; 3. Belief networks; 4. Graphical models; 5. Efficient inference in trees; 6. The junction tree algorithm; 7. Making decisions; Part II. Learning in Probabilistic Models: 8. Statistics for machine learning; 9. Learning as inference; 10. Naive Bayes; 11. Learning with hidden variables; 12. Bayesian model selection; Part III. Machine Learning: 13. Machine learning concepts; 14. Nearest neighbour classification; 15. Unsupervised linear dimension reduction; 16. Supervised linear dimension reduction; 17. Linear models; 18. Bayesian linear models; 19. Gaussian processes; 20. Mixture models; 21. Latent linear models; 22. Latent ability models; Part IV. Dynamical Models: 23. Discrete-state Markov models; 24. Continuous-state Markov models; 25. Switching linear dynamical systems; 26. Distributed computation; Part V. Approximate Inference: 27. Sampling; 28. Deterministic approximate inference; Appendix. Background mathematics; Bibliography; Index |
| 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 | Bayesian statistical decision theory |
| 942 00 - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha issues (borrowed), all copies | 1 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Date last checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | 281.21 | 1 | QA267 .B37 2012 | 0000081697 | 05/07/2022 | 21/04/2022 | 1 | 281.21 | 04/09/2019 | Open Shelf |