Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Par

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Rec

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data

Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as