This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in bui

For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data stream

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental

Advancements in computer architecture, high speed networks, and sensor/data capture technologies have the potential to generate vast amounts of information and

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi