Probabilistic Graphical Models Principles and Applications /

• Κύριος συγγραφέας: Sucar, Luis Enrique (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2015.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: Computer science.; Mathematical statistics.; Artificial intelligence.; Pattern recognition.; Probabilities.; Electrical engineering.; Computer Science.; Probability and Statistics in Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Probability Theory and Stochastic Processes.; Electrical Engineering.

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...