Statistical And Neural Classifiers

Statistical and Neural Classifiers

The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a 'black box approach' with no real understanding of how they work. In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used.. .

Machine Learning, Neural and Statistical Classification

Pattern Classification

Based on Schurmann's years of practical experience in the area of character recognition and document analysis, this book offers a unifying perspective of neural networks and statistical pattern classification from a theoretically-based engineering point of view. Using graphs and examples, it sheds light on the relation between seemingly different approaches to pattern recognition.