Hybrid random fields : a scalable approach to structure and parameter learning in probabilistic graphical models
By: Freno, Antonino.
Contributor(s): Trentin, Edmondo.
Material type:
BookSeries: Intelligent systems reference library / edited by Janusz Kacprzyk and Lakhmi C. Jain; v.15. Publisher: Berlin Springer 2011Description: xvi,207p.ISBN: 9783642203077.Subject(s): Random processes | Bayesian networks | Markov random fieldsDDC classification: 519.23 | F889a
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Books
|
PK Kelkar Library, IIT Kanpur | General Stacks | 519.23 F889a (Browse shelf) | Available | A173404 |
Total holds: 0
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 519.22 Sch88t Theory and applications of stochastic processes | 519.23 Ad59r Random fields and geometry | 519.23 C17i An introduction to continuous-time stochastic processes | 519.23 F889a Hybrid random fields | 519.23 G135s Stochastic processes | 519.23 H129s2 Stochastic tools in mathematics and science | 519.23 Io7i Introduction to stochastic models |
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