Michie, D.


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.



A theory of advice

Classics

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley, 151-168.


Experiments with the adaptive graph traverser

Classics

"The main topic of the present paper is the proposal that general-purpose search procedures should be able to use accumulating experience of a given problem to improve search efficiency at run time. One of the mechanisms to be described involves optimization of numerical parameters used to control the search, reminiscent of the 'learning by generalization' used in Samuel's (1959) checkers-playing program." B. Meltzer and D. Michie (Eds.), Machine intelligence 5. New York: American Elsevier, 301-318.


BOXES: An experiment in adaptive control

Classics

In Dale, E. and Michie, D. (Eds.), Machine Intelligence 2, pp. 125-133. Elsevier/North-Holland.


Strategy building with the graph traverser

Classics

See also: Proceedings of The Royal SocietyIn Collins, N.L. and Donald Michie (Eds.), Machine Intelligence 1. Oliver Boyd.