文档介绍：LEARNING WITH NESTED GENERALIZED EXEMPLARS
THE KLUWER INTERNATIONAL SERIES
IN ENGINEERING PUTER SCIENCE
KNOWLEDGE REPRESENTATION, LEARNING
AND EXPERT SYSTEMS
Consulting Editor
Tom Mitchell
Carnegie Mellon University
Other books in the series:
Universal Subgoaling and Chunking of Goal Hierarchies, 1. Laird,
P. Rosenbloom, A. Newell. ISBN: 0-89838-213-0.
Machine Learning: A Guide to Current Research, T. Mitchell,
1. Carbonell, R. Michalski. ISBN: 0-89838-214-9.
Machine Learning of Inductive Bias, P. Utgoff.
ISBN: 0-89838-223-8.
A Connectionist Machine for ic Hil/climbing, D. H. Ackley.
ISBN: 0-89838-236-X.
Learning from Good and Bad Data, . Laird.
ISBN: 0-89838-263-7.
Machine Learning of Robot Assembly Plans, . Segre.
ISBN: 0-89838-269-6.
Automating Knowledge Acquisition for Expert Systems, S. Marcus,
Editor. ISBN: 0-89838-294-7.
Machine Learning, Meta-Reasoning and Logics, Pavel B. Brazdil,
Kurt Konolige. ISBN: 0-7923-9047-4.
Change of Representation and Inductive Bias, D. Paul Benjamin.
ISBN: 0-7923-9055-5.
Knowledge Acquisition: Selected Research mentary,
Sandra Marcus, Editor. ISBN: 0-7923-9062-8.
LEARNING WITH NESTED
GENERALIZED EXEMPLARS
by
Steven L. Salzberg
The Johns Hopkins University
foreword by
William A. Woods
Harvard University
.....
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library of Congress Cataloging-in·PubUcation Data
Salzberg, Steven L., 1960-
Learning with nested generalized exemplars / by Steven L. Salzberg
; foreword by William A. Woods.
p. cm. - (The Kluwer International series in engineering and
computer science; SECS 100)
Includes bibl