Collaborating Authors

Statistical Learning

Machine Learning, Neural and Statistical Classification


This book (originally published in 1994 by Ellis Horwood) is now out of print. The copyright now resides with the editors who have decided to make the material freely available on the web.This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.

Neural Network Perception for Mobile Robot Guidance


Kluwer. See also Springer ( See also: A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance. Machine Learning, January 1995, Volume 18, Issue 1, pp 121–122 (

Models of learning systems


"The terms adaptation, learning, concept-formation, induction, self-organization, and self-repair have all been used in the context of learning system (LS) research. The research has been conducted within many different scientific communities, however, and these terms have come to have a variety of meanings. It is therefore often difficult to recognize that problems which are described differently may in fact be identical. Learning system models as well are often tuned to the require- ments of a particular discipline and are not suitable for application in related disciplines."In Encyclopedia of Computer Science and Technology, Vol. 11. Dekker

Temporal scene analysis: Conceptual descriptions of objects' movements


Ph.D. Dissertation, Tech. Rep. 80, Dept. of Computer Science, Univ. of Toronto, Feb. 1975