Probabilistic Graphical Models 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gaag, Linda C. van der (Επιμελητής έκδοσης), Feelders, Ad J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Computer Science, 8754
• Θέματα: Computer science.; Computer science > Mathematics.; Mathematical statistics.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Probability and Statistics in Computer Science.; Data Mining and Knowledge Discovery.; Discrete Mathematics in Computer Science.
• Φυσική περιγραφή: XII, 598 p. 186 illus. online resource.
• ISBN: 9783319114330
• ISSN: 0302-9743 ;

This book constitutes the refereed proceedings of the 7th International Workshop on Probabilistic Graphical Models, PGM 2014, held in Utrecht, The Netherlands, in September 2014. The 38 revised full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers cover all aspects of graphical models for probabilistic reasoning, decision making, and learning.