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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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