Expert Systems and Probabilistic Network Models

Author: Enrique Castillo
Publisher: Springer Science & Business Media
ISBN: 1461222702
Format: PDF, Mobi
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Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

Advances in Bayesian Networks

Author: José A. Gámez
Publisher: Springer
ISBN: 3540398791
Format: PDF, Mobi
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In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.

Resilience Engineering

Author: Nii Attoh-Okine
Publisher: Cambridge University Press
ISBN: 0521193494
Format: PDF, ePub, Mobi
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The book is intended for readers who have backgrounds in probability. It is suitable for practicing engineers, analysts, and researchers.

Advances in Case Based Reasoning

Author: Enrico Blanzieri
Publisher: Springer
ISBN:
Format: PDF, ePub
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This book constitutes the refereed proceedings of the 5th European Workshop on Case-Based Reasonning, EWCBR 2000, held in Trento, Italy in September 2000. The 40 revised full papers presented together with two invited contributions were carefully reviewed and selected for inclusion in the book. All curves issues in case-based reasoning, ranging from foundational and theoretical aspects to advanced applications in various fields are addressed.