Introduction to Bayesian Networks

Author: Zhang Lianwen
Publisher:
Publish Date: 2006-11-01
Features: Bayesian networks are an effective tool for uncertainty reasoning and data analysis in complex systems by applying probability and statistics. They originated from the research on uncertainty problems in artificial intelligence in the mid-1980s and have been expanding their international influence in recent years. This book is a comprehensive Chinese monograph on the basic theory, algorithms, and applications of Bayesian networks. It includes four main parts: probability theory and basic concepts of Bayesian networks, Bayesian network reasoning, Bayesian network learning, and the application of Bayesian networks in Traditional Chinese Medicine. The book starts with examples, progresses from simple to complex, combines intuition with rigor, and provides detailed references. The target readers of this book are senior undergraduate students, graduate students, and researchers in related fields.