This book presents the fundamentals of decision-making systems in general, and pattern recognition systems in particular, in a concise, informative, and easy-to-read manner. It provides background mathematics, then shows how to use statistical pattern recognition in the design of algorithms for automated systems. Later chapters include recent research results. The volume will be of use to computer scientists, workers in artificial intelligence and expert systems and students.

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Articles li�s � Decision Estimation and Classification: An Introduction...

Decision Estimation and Classification: An Introduction to Pattern Recognition and Related Topics

Therriern, Charles W.

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