Techniques in Computational Learning: An Introduction
Christopher James Thornton · Medical Entomology and Zoology · 1992
Candidate elimination and the version space focussing AQ11 information theory ID3 unsupervised learning by clustering LEX and explanation-based learning introduction to connectionism the linear threshold unit learning by error-reduction the pattern associator back-propagation learning to diagnose heart disease analyzing internal representations constructive learning procedures the WISARD net competitive learning and the kohonen net the hopfield net the boltzman machine discussion.