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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
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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 9. oktobris |
| ISBN13 | 9781447170549 |
| Izdevēji | Springer London Ltd |
| Lapas | 253 |
| Izmēri | 234 × 156 × 22 mm · 494 g |
| Valoda | Angļu |
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