CMU Artificial Intelligence Repository
Machine Learning
areas/learning/
bib/ Machine Learning Bibliographies
database/ Machine Learning Databases
mail/ Machine Learning Mailing List Archives
systems/ Machine Learning Software Packages
This directory contains software and materials concerning machine learning.
References:
J. G. Carbonell, editor, "Machine Learning: Paradigms and Methods", MIT
Press, Cambridge, MA 1990.
Jude W. Shavlik and Thomas D. Dietterich, editors, "Readings in
Machine Learning", Morgan Kaufmann Publishers, 1990, 853 pages.
ISBN 1-55860-143-0, $49.95.
Tom Mitchell, Jaime G. Carbonell, and Ryszard S. Michalski,
"Machine Learning: A guide to current research", Kluwer Academic
Publishers, Boston, 1986. [A bit out of date.]
Alan Hutchinson, "Algorithmic Learning", Oxford University Press,
Oxford, England, 1994. 434 pages, ISBN 0-19-853848-0 paper (27.50
Sterling), ISBN 0-19-853766-2 hardcover (55.00 Sterling). Corrections and
additions are available by anonymous ftp from
dcs.kcl.ac.uk:/ftp/pub/alg-learn/ [137.73.8.10]
[See also the article on Machine Learning from the Encyclopedia of
Artificial Intelligence, pages 464-485.]
Quinlan, J. Ross, "Induction of Decision Trees", Machine Learning
1(1):81-106, 1986. [Decision Trees]
Quinlan, J. Ross, "C4.5: Programs for Machine Learning", Morgan Kaufmann
Publishers, 1992. ISBN 1-55860-238-0. $44.95 US, $49.45 International.
For a slight additional charge ($25), the book comes with software (ISBN
1-55860-240-2). For software only, (ISBN 1-55860-239-9) $34.95 US,
$38.45 International. [Decision Trees]
Fisher, D.H., "Knowledge Acquisition Via Incremental Conceptual
Clustering", Machine Learning 2:139-172, 1987. (Probabilistic
clustering methods.) [Probabilistic Clustering]
Clancey, W.J., "Classification Problem Solving", Proceedings of the
National Conference on Artificial Intelligence, 49-55, Los Altos, CA,
Morgan Kaufmann. 1984. [Probabilistic Clustering]
Tom M. Mitchell, "Generalization as Search", Artificial Intelligence
18:203-226, 1982. [Version Spaces]
Laird J.E., Rosenbloom, P.S. and Newell, A., "Chunking in SOAR: The
Anatomy of a General Learning Mechanism", Machine Learning
1:1-46, 1986. [Chunking]
Mitchell, Tom M., Keller, R. M., and Kedar-Cabelli, S. T.,
"Explanation-based learning: A unified view", Machine Learning
1:47-80, 1986. [Explanation-Based Learning]
Carbonell, J. G., "Derivational analogy: A theory of
reconstructive problem solving and expertise acquisition." In R.S.
Michalski, Jaime G. Carbonell, and Tom M. Mitchell, editors, Machine
Learning: An Artificial Intelligence Approach, Morgan Kaufmann
Publishers, San Mateo, CA, 1986. [Derivational Analogy]
Leslie G. Valiant, "A theory of the learnable", Communications
of the ACM, 27(11):1134--1142, 1984. [Theoretical Results]
Haussler, D., "Quantifying Inductive Bias: AI Learning
Algorithms and Valiant's Learning Framework", Artificial Intelligence,
36:177-221, 1988. [Theoretical Results]
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Keywords:
AI Software Packages, Machine Learning, Software Packages
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