A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making deci

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engi

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within ar

This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage inc

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This boo