CMU Artificial Intelligence Repository
IDT: Torgos ID3-like system based on the gain-ratio measure
areas/learning/systems/learn_pl/idt/
This directory contains IDT, Luis Torgo's ID3-like program for
induction of decision trees based on the gain-ratio measure.
Origin:
ftp.gmd.de:/gmd/mlt/ML-Program-Library/ [129.26.8.84]
Version: 9-FEB-94
Requires: Prolog
Ports: The algorithm is written in Edinburgh Prolog syntax.
Copying: Copyright (c) 1989 Luis Torgo
GNU GPL v1.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Luis Torgo
Laboratorio Inteligencia Artificial e Ciencas de Computacao,
Universidade do Porto,
Rua Campo Alegre 823,
4100 Porto,
Portugal
Thomas Hoppe
Contact: Thomas Hoppe (Machine Learning Library)
Projektgruppe KIT
Technische Universitaet Berlin
Franklinstr. 28/29,
10629 Berlin, Germany.
Werner Emde (ftp library)
Gesellschaft fuer Mathematik und Datenverarbeitung, Bonn
Keywords:
Authors!Hoppe, Authors!Torgo, Decision Trees, GNU GPL, ID3,
IDT, Induction, Machine Learning, Prolog!Code
References:
Quinlan, J. R., "Learning Efficient Classification Procedures and
Their Application to Chess End Games", in: Machine Learning,
Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.), Tioga
Publishing Company, Palo Alto, 1983.
J. Ross Quinlan, "Induction of Decision Trees", Machine Learning
1(1):81-106, 1986
Last Web update on Mon Feb 13 10:24:27 1995
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