Graphical models: representations for learning, reasoning and data mining

This book provides a self-contained introduction into learning relational, probabilistic, and possibilistic networks from data. All basic concepts are carefully explained and illustrated by examples throughout. Contains all necessarybackground material, including modelling under uncertainty, decomposition of distributions, and graphical representation of distributions as well as applications relating to graphical models and problems for further research. This second edition will feature more extensive coverage of clique tree propagation, visualization techniques and exercises for the reader, the book will also be supported by a website containing additional material.

• ISBN: 978-0-470-72210-7
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 408
• Fecha Publicación: 18/09/2009
• Nº Volúmenes: 1
• Idioma: Inglés