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Probabilistic Graphical Models: Principles and Applications - Advances in Computer Vision and Pattern Recognition Luis Enrique Sucar Softcover reprint of the original 1st ed. 2015 edition
Probabilistic Graphical Models: Principles and Applications - Advances in Computer Vision and Pattern Recognition
Luis Enrique Sucar
These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes.
277 pages, 113 black & white illustrations, 4 colour illustrations, 25 black & white tables, biograp
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2016年10月9日 |
| ISBN13 | 9781447170549 |
| 出版社 | Springer London Ltd |
| ページ数 | 253 |
| 寸法 | 234 × 156 × 22 mm · 494 g |
| 言語 | 英語 |