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Probabilistic Graphical Models: Principles and Applications, Hardcover/Luis Enrique Sucar - Springer


Probabilistic Graphical Models: Principles and Applications, Hardcover/Luis Enrique Sucar
584 Lei

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(06-07-2024)
Cumpara de la elefant.ro

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This accessible text/reference provides a general introduction to Probabilistic Graphical models (PGMs) from an engineering perspective.
These Applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynam.
The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world Applications for each type of model.
This accessible text/reference provides a general introduction to Probabilistic Graphical models (PGMs) from an engineering perspective


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