by Ahmed Rebai (ed.)
Publisher: InTech 2010
Number of pages: 442
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.
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by David Moursund - 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.
by William John Teahan - BookBoon
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment.
by J. Sheehan, M. Sosna - University of California Press
To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new insights. What have these two fields in common? Have they affected the way we define humanity?
by George K Matsopoulos - InTech
Contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; etc.