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...

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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
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Autres localisations: Voir dans le Sudoc

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