Probabilistic graphical models : principles and techniques
Most tasks require a person or an automated system to reason to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be const...
Guardat en:
| Autors principals: | Koller, Daphne, 1968-, Friedman, Nir, 19..- (Autor) |
|---|---|
| Format: | Livre papier |
| Idioma: | Anglais |
| Publicat: |
Cambridge (Mass.) ; London :
MIT Press
C 2009.
|
| Col·lecció: | Adaptive computation and machine learning
|
| Matèries: | |
| Autres localisations: | Voir dans le Sudoc |
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