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Package: areas/learning/systems/learn_pl/aq1/
Name: AQ-Prolog
Summary: Reimplementation of Michalski's AQ for attribute vectors
Version: 14-JAN-94
Description:
This directory contains Jeffrey M. Becker's AQ-PROLOG, a
reimplementation of Michalski's AQ for attribute vectors
Requires: Prolog
Ports: The algorithm is written in Edinburgh Prolog syntax.
Origin: ftp.gmd.de:/gmd/mlt/ML-Program-Library/ [129.26.8.84]
Copying: Copyright (c) 1985 Jeffrey M. Becker
Updated:
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Bug Reports:
Mailing List:
Author(s): Jeffrey M. Becker, Thomas Hoppe
Contact: Thomas Hoppe <[email protected]> (Machine Learning Library)
Projektgruppe KIT
Technische Universitaet Berlin
Franklinstr. 28/29,
10629 Berlin, Germany.
Werner Emde <[email protected]> (ftp library)
Gesellschaft fuer Mathematik und Datenverarbeitung, Bonn
Keywords:
Machine Learning, Prolog!Code, AQ-Prolog, Authors!Becker,
Inductive Learning, Conceptual Clustering, Prolog!Code, Michalski's AQ
Contains: ???
See Also:
References:
Becker, J.M., "AQ-PROLOG: A Prolog Implementation of an
Attribute-Based Learning System", Reports of the Intelligent
Systems Group, Department of Computer Science, University of
Illinois at Urbana-Champaign, Report Number ISG 85-1, January 1985.
Michalski, R.S. and Stepp, R.E., "Learning from Observation:
Conceptual Clustering", in: Machine Learning, Michalski, R.S.,
Carbonell, J.G., Mitchell, T.M. (eds.), Tioga Publishing Company, Palo
Alto, 1983.
Michalski, R.S., "Inductive Learning", in: Machine Learning, Michalski,
R.S., Carbonell, J.G., Mitchell, T.M. (eds.), Tioga Publishing
Company, Palo Alto, 1983.