Probabilistic Graphical Models Principles and Applications /

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applicat...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Sucar, Luis Enrique (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Computer science-Mathematics.
Mathematical statistics.
Artificial intelligence.
Pattern recognition systems.
Probabilities.
Electrical engineering.
Probability and Statistics in Computer Science.
Artificial Intelligence.
Automated Pattern Recognition.
Probability Theory.
Electrical and Electronic Engineering.
Online Access:Texto Completo

Internet

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