Logo

Bayesian Network by Ahmed Rebai (ed.)

Small book cover: Bayesian Network

Bayesian Network
by

Publisher: InTech
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.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: The Thousand Faces of Virtual RealityThe Thousand Faces of Virtual Reality
by - InTech
Virtual Reality has high impact not only on research but on our daily living as well. This book has an aim to present applications, trends and newest development in three main disciplines: health sector, education and industry.
(2991 views)
Book cover: Swarm Intelligence: Focus on Ant and Particle Swarm OptimizationSwarm Intelligence: Focus on Ant and Particle Swarm Optimization
by - InTech
Motivated by the capability of the biologically inspired algorithms, the book aims to present recent developments in optimization with swarm intelligence techniques. The book also presents some selected representative case studies.
(10698 views)
Book cover: Brief Introduction to Educational Implications of Artificial IntelligenceBrief Introduction to Educational Implications of Artificial Intelligence
by - University of Oregon
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
(12206 views)
Book cover: Human and Machine ConsciousnessHuman and Machine Consciousness
by - Open Book Publishers
This book sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines.
(819 views)