Creating A Memory of Causal Relationships: An Integration of Empirical and Explanation-based Learning Methods / Edition 1

by Michael J. Pazzani

Overview

First Published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.

Product Details

ISBN-13:	9781138966918
Publisher:	Taylor & Francis
Publication date:	10/17/2016
Pages:	360
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

Contents: Introduction. What OCCAM Is Up Against. Similarity-Based Learning in OCCAM. Theory-Driven Learning in OCCAM. Explanation-Based Learning in OCCAM. Integration of Learning Methods. Experiments in Integrated Learning. Future Directions and Conclusions. Appendices: Data Listing. Program Traces. Prolog OCCAM. OCCAM's Generalization Rules. Listing of Economic Sanction Incidents.

Editorial Reviews

"...the best source for learning about OCCAM...a clear and detailed description of OCCAM ....incorporates many interesting and novel ideas. The ideas that are emphasized by Pazzani, and that are explored in depth in the book, are a novel integration of explanation-based and similarity-based learning methods..."
—Machine Learning

From the Publisher