by Christian Borgelt (Author), Matthias Steinbrecher (Author), ProfessorDrRudolfRKruse (Author)
Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from dataAll basic concepts carefully explained and illustrated by examples throughoutContains background material including graphical representation, including Markov and Bayesian Networks.
Format: Hardcover
Pages: 404
Edition: Second Edition
Publisher: Wiley-Blackwell
Published: 07 Aug 2009
ISBN 10: 047072210X
ISBN 13: 9780470722107