Probabilistic graphical models : principles and techniques
Material type: TextSeries: Adaptive computation and machine learningPublication details: Cambridge : MIT Press, @2009.Description: xxi, 1231 p. : ill. ; 24 cmISBN:- 9780262013192
- 519.542 22
- QA279.5 .K65 2009
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | Course reserves |
---|---|---|---|---|---|---|---|---|---|
Books | IIITD Reference | Mathematics | CB 519.542 KOL-P (Browse shelf(Opens below)) | Available | DBT Project Grant | 012906 | |||
Reference | IIITD Reference | Mathematics | REF 519.542 KOL-P (Browse shelf(Opens below)) | Not for loan | 001131 |
Total holds: 0
Browsing IIITD shelves, Shelving location: Reference, Collection: Mathematics Close shelf browser (Hides shelf browser)
CB 519.5 JAM-I An introduction to statistical learning : with applications in R | CB 519.5 WEI-I Introductory statistics | CB 519.536 GEL-D Data analysis using regression and multilevel/hierarchical models | CB 519.542 KOL-P Probabilistic graphical models : principles and techniques | CB 519.542 NAG-B Bayesian networks in R : | CB 530.11 SMI-E Energy : a beginner's guide | CB 570.151 DAT-S Statistical analysis of next generation sequencing data |
Includes bibliographical references (p. [1171]-1207) and indexes.
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