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language: english
Publisher: JOHN WILEY & SONS INC, August of 2009 ‧
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Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic concepts carefully explained and illustrated by examples throughout Contains background material including graphical representation, including Markov and Bayesian Networks. Includes a comprehensive bibliography.

Graphical Models

Representations For Learning, Reasoning And Data Mining

by Christian (European Centre For Soft Computing) Borgelt, Rudolf R. (University Of Magdeburg, Germany) Kruse e Matthias (University Of Magdeburg, Germany) Steinbrecher

Property Description
ISBN: 9780470722107
Publisher: JOHN WILEY & SONS INC
Release Date: August of 2009
Language: English
Cover: Hardcover
Pages: 404
Format: Book
Collection: Wiley Series In Computational Statistics
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9780470722107