morgan@unix.SRI.COM (Morgan Kaufmann) (10/26/90)
Morgan Kaufmann announces a new publication in its Series in
Machine Learning (Edited by Pat Langley)
READINGS IN MACHINE LEARNING
EDITED BY JUDE SHAVLIK (Univ. of Wisconsin)
and THOMAS DIETTERICH (Oregon State Univ)
The ability to learn is a fundamental characteristic of intelligent
behavior. Consequently, machine learning has been a focus of
artificial intelligence since the beginnings of AI in the 1950's.
The past decade has seen tremendous growth in the field, and this
growth promises to continue with valuable contributions to science,
engineering, and business.
"Readings in Machine Learning" collects the best of the published
machine learning literature including papers that address a wide
range of learning tasks and that introduce a variety of techniques
for giving machines the ability to learn. It contains papers on
symbolic inductive learning, connectionism, genetic algorithms,
explanation-based learning, discovery systems, and analogical and
case-based learning. The editors, in conjunction with a group of
expert referees, have chosen important papers that empirically
study, theoretically analyze, or psychologically justify machine
learning algorithms. Recent papers as well as seminal reports on
early research are included. The papers are grouped into a dozen
categories, each of which is introduced by the editors.
ISBN 1-55860-143-0
853 pages, softbound
Price: $39.95 (ordering information follows table of contents)
TABLE OF CONTENTS
General Aspects of Machine Learning
INTRODUCTION
Learning at the Knowledge Level
T. G. Dietterich
Problem Solving and Rule Induction: A Unified View
H. A. Simon and G. Lea
Machine Learning as an Experimental Science
D. Kibler and P. Langley
Inductive Learning From Preclassified Training Examples
INTRODUCTION
ALGORITHMS
Induction of Decision Trees
J. R. Quinlan
A Theory and Methodology of Inductive Learning
R. S. Michalski
Generalization as Search
T. M. Mitchell
Learning Representative Exemplars of Concepts: An Initial Case
Study
D. Kibler and D. W. Aha
Learning Internal Representations by Error Propagation
D. E. Rumelhart, G. E. Hinton, and R. J. Williams
The Perceptron: A Probabilistic Model for Information Storage
and Organization in the Brain
F. Rosenblatt
A Time-Delay Neural Network Architecture for Isolated Word
Recognition
K. J. Lang, A. H. Waibel, and G. E. Hinton
EMPIRICAL COMPARISON
An Experimental Comparison of Symbolic and Connectionist
Learning Algorithms
R. Mooney, J. Shavlik, G. Towell, and A. Grove
An Empirical Comparison of Pattern Recognition, Neural Nets,
and Machine Learning Classification Methods
S. M. Weiss and I. Kapouleas
THEORY
The Need for Biases in Learning Generalizations
T. M. Mitchell
A Theory of the Learnable
L. G. Valiant
Occam's Razor
A. Blumer, A. Ehrenfeucht, D. Haussler, and
M. K. Warmuth
Quantifying Inductive Bias: AI Learning Algorithms and
Valiant's Learning Framework
D. Haussler
Learning
M. Minsky and S. A. Papert
On the Complexity of Loading Shallow Neural Networks
S. Judd
What Size Net Gives Valid Generalization?
E. B. Baum and D. Haussler
Unsupervised Concept Learning and Discovery
INTRODUCTION
CLUSTERING
Knowledge Acquisition Via Incremental Conceptual Clustering
D. H. Fisher
The Simulation of Verbal Learning Behavior
E. A. Feigenbaum"
AutoClass: A Bayesian Classification System
P. Cheeseman, J. Kelly, M. Self, J. Stutz, W. Taylor, and
D. Freeman
Feature Discovery by Competitive Learning
D. E. Rumelhart and D. Zipser
Self-Organized Formation of Topologically Correct Feature Maps
T. Kohonen
DISCOVERY
The Ubiquity of Discovery
D. B. Lenat
Heuristics for Empirical Discovery
P. Langley, H. A. Simon, and G. L. Bradshaw
A Unified Approach to Explanation and Theory Formation
B. Falkenhainer
Classifier Systems and Genetic Algorithms
L. B. Booker, D. E. Goldberg, and J. H. Holland
Improving the Efficiency of a Problem Solver
INTRODUCTION
LEARNING COMPOSITE RULES
Explanation-Based Generalization: A Unifying View
T. M. Mitchell, R. M. Keller, and S. T. Kedar-Cabelli
Explanation-Based Learning: An Alternative View
G. DeJong and R. Mooney
Learning and Executing Generalized Robot Plans
R. E. Fikes, P. E. Hart, and N. J. Nilsson
Acquiring Recursive and Iterative Concepts with
Explanation-Based Learning
J. W. Shavlik
LEARNING SEARCH CONTROL KNOWLEDGE
Learning by Experimentation: Acquiring and Refining
Problem-Solving Heuristics
T. M. Mitchell, P. E. Utgoff, and R. Banerji
Credit Assignment in Rule Discovery Systems Based on Genetic
Algorithms
J. J. Grefenstette
Some Studies in Machine Learning Using the Game of Checkers
A. L. Samuel
Chunking in Soar: The Anatomy of a General Learning Mechanism
J. E. Laird, P. S. Rosenbloom, and A. Newell
Quantitative Results Concerning the Utility of
Explanation-Based Learning
S. Minton
Defining Operationality for Explanation-Based Learning
R. M. Keller
Using Preexisting Domain Knowledge Inductively
INTRODUCTION
ANALOGICAL APPROACHES
The Mechanisms of Analogical Learning
D. Gentner
Combining Analogies in Mental Models
M. H. Burstein
Derivational Analogy: A Theory of Reconstructive Problem
Solving and Expertise Acquisition
J. G. Carbonell
Toward a Computational Model of Purpose-Directed Analogy
S. Kedar-Cabelli
A Logical Approach to Reasoning by Analogy
T. R. Davies and S. J. Russell
A Theory of the Origins of Human Knowledge
J. R. Anderson
CASE-BASED APPROACHES
CHEF
K. J. Hammond
Concept Learning and Heuristic Classification in Weak-Theory
Domains
B. W. Porter, R. Bareiss, and R. C. Holte
EXPLANATORY/INDUCTIVE HYBRIDS
Learning One Subprocedure per Lesson
K. VanLehn
Induction of Augmented Transition Networks
J. R. Anderson
Learning by Failing to Explain: Using Partial Explanation to
Learn in Incomplete and Intractable Domains
R. J. Hall
A Study of Explanation-Based Methods for Inductive Learning
N. S. Flann and T. G. Dietterich
An Approach to Combining Explanation-Based and Neural Learning
Algorithms
J. W. Shavlik and G. G. Towell
Index
Credits
_________________________________________________________________
Ordering Information:
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Phone: (800)745-READ, (415) 578-9928
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Email: morgan@unix.sri.com