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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.
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2009年7月31日 |
| ISBN13 | 9780262013192 |
| 出版商 | MIT Press Ltd |
| 页数 | 1270 |
| 商品尺寸 | 209 × 235 × 48 mm · 2,13 kg |
| 语言 | 英语 |
| 丛书主编 | Bach, Francis (INRIA - Willow Project-Team) |
