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

This valuable text addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered inclu

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

The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computi

This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.