A Compendium of Machine Learning

A Compendium of Machine Learning

Vol. 1, Symbolic Machine Learning

eBook - 1996
Rate this:
Book News
A consolidation of the algorithms and methods of machine learning developed in a number of application areas for artificial intelligence, defining knowledge as new information acquired from external sources and also as skills acquisition. Briscoe and Caelli (computing, Curtin U. of Technology, Australia) cover topics in symbolic empirical learning, analytical learning, case based reasoning and analogy, integrated learning systems, and formal analysis. The sections introduce SEL and EBL, as well as the key related algorithms. The appendices contain electronic information sources, subscription lists, conferences. Includes illustrations. Annotation c. by Book News, Inc., Portland, Or.

Publisher: Norwood, N.J. : Ablex Pub. Corp., ©1996
ISBN: 9780585352145
Characteristics: 1 online resource (353 pages) : illustrations
Additional Contributors: Caelli, Terry


From the critics

Community Activity


Add a Comment

There are no comments for this title yet.

Age Suitability

Add Age Suitability

There are no age suitabilities for this title yet.


Add a Summary

There are no summaries for this title yet.


Add Notices

There are no notices for this title yet.


Add a Quote

There are no quotes for this title yet.

Explore Further


Subject Headings


Find it at SPL

To Top