Learning in Graphical Models
(Part of the Adaptive Computation and Machine Learning Series)
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Book Overview
Graphical models, a marriage between probability theory and graph theory, provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering--uncertainty and complexity. In particular, they play an increasingly important role in the design and analysis of machine learning algorithms. Fundamental to the idea of a graphical model is the notion of modularity: a complex system is built by combining simpler...
Format:Paperback
Language:English
ISBN:0262600323
ISBN13:9780262600323
Release Date:November 1998
Publisher:Bradford Book
Length:644 Pages
Weight:2.55 lbs.
Dimensions:1.3" x 6.9" x 10.1"
Age Range:18 years and up
Grade Range:Postsecondary and higher
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