Includes the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. Presents specific topics such as approximate propagation, abductive inferences, decision graphs and applications of influence -- Back cover.
TOPICAL NAME USED AS SUBJECT
Bayesian statistical decision theory -- Data processing.
Machine learning.
Neural networks (Computer science)
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA279
.
5
Book number
J674
9999
PERSONAL NAME - PRIMARY RESPONSIBILITY
José A. Gámez, Serafín Moral, Antonio Salmerón (eds.).