Beskrivning
This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine.
Bokdetaljer
Format
Pocketbok
Sidor
396 sidor
Språk
Engelska
Publicerad
Mar 1, 2007
Förlag
Springer
ISBN-10
354068994X
ISBN-13
9783540689942