Bayesian Network
by Ahmed Rebai (ed.)
Publisher: InTech 2010
ISBN-13: 9789533071244
Number of pages: 442
Description:
Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This book is a collection of original contributions to the methodology and applications of Bayesian networks.
Download or read it online for free here:
Download link
(multiple PDF files)
Similar books
Ethical Artificial Intelligenceby Bill Hibbard - arXiv
This book analyzes the issues of ethical artificial intelligence. The behavior of future AI systems can be described by mathematical equations, which are adapted to analyze possible unintended AI behaviors and ways that AI designs can avoid them.
(8836 views)
The Quest for Artificial Intelligenceby Nils J. Nilsson - Cambridge University Press
Artificial intelligence is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the eighteenth-century pioneers to the work of today-s AI engineers.
(14716 views)
Affective Computingby Jimmy Or - IN-TECH
An overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections.
(12639 views)
Human Computer Confluenceby Andrea Gaggioli, et al. - De Gruyter Open Ltd
Human computer confluence is a research area aimed at developing an effective, transparent, bidirectional communication between humans and computers, which has the potential to enable new forms of sensing, perception, interaction, and understanding.
(6431 views)