Machine Learning


Machine Learning, Neural and Statistical Classification

Classics

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

Classics

Kluwer. See also Springer (https://www.springer.com/gp/book/9780792393733). 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 (https://link.springer.com/article/10.1007%2FBF00993825).









A training algorithm for optimum margin classifiers

Classics

Proceedings of the Fifth Annual Workshop on Computational Learning Theory 5: 144-152, 1992.