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Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning series Koller, Daphne (Stanford University)
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning series
Koller, Daphne (Stanford University)
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
1280 pages, 399 b&w illus.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | July 31, 2009 |
| ISBN13 | 9780262013192 |
| Publishers | MIT Press Ltd |
| Pages | 1270 |
| Dimensions | 209 × 235 × 48 mm · 2.12 kg |
| Language | English |
| Series Editor | Bach, Francis (INRIA - Willow Project-Team) |
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