Graphical Models: Representations for Learning, Reasoning and Data Mining (Wiley Series in Computational Statistics)

Christian Borgelt, Matthias Steinbrecher, Rudolf R Kruse

ISBN 10: 047072210X / ISBN 13: 9780470722107

Edité par Wiley-Blackwell 2009-08-07, 2009

A propos de cet article

N° de réf. du vendeur 6666-WLY-9780470722107

Détails bibliographiques

• Titre: Graphical Models: Representations for Learning, Reasoning and Data Mining (Wiley Series in Computational Statistics)
• Éditeur: Wiley-Blackwell 2009-08-07
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 047072210X
• ISBN à 13 chiffres: 9780470722107
• Reliure: Hardcover
• Édition: 2ème Édition
• État de l'article: New

A propos de ce titre

Synopsis

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.

À propos de l?auteur

Christian Borgelt, is the Principal researcher at the European Centre for Soft Computing at Otto-von-Guericke University of Magdeburg.

Rudolf Kruse, Professor for Computer Science at Otto-von-Guericke University of Magdeburg.

Matthias Steinbrecher, Department of Knowledge Processing and Language Engineering, School of Computer Science, Universitätsplatz 2, ?Magdeburg, Germany.