Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix.  Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty. The theory and methods presented are illustrated through more than 140 examples, and exercises are included for the reader to check his or her level of understanding. The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and tricks, learning models from data, and analyses of models have all been developed and refined on the basis of numerous courses that the authors have held for practitioners worldwide.

《Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition》是一本全面指南，針對希望理解、構建和分析基於概率網絡的智能決策支持系統的從業人員。這本新版書籍包含六個新章節，並且全面更新了例子、表格、圖片和附錄。本書主要針對從業人員，不需要高深的數學技巧或對底層理論和方法的深入理解，也不討論在不確定性下的替代技術。所介紹的理論和方法通過140多個例子進行了說明，並且包含了練習題，供讀者檢查自己的理解水平。這些知識提取、模型構建和驗證、建模技巧和技巧、從數據中學習模型以及模型分析的技術和方法都是根據作者在全球從業人員培訓課程的基礎上開發和完善的。