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Author Leng, B. ♦ Buchanan, B.G.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Expert systems ♦ Learning systems ♦ Vocabulary ♦ Machine learning ♦ Intelligent systems ♦ Laboratories ♦ Computer science ♦ Accuracy ♦ Buildings ♦ Knowledge engineering
Abstract Induction programs make several assumptions that limit their practical utility. Research to overcome the limitation of working within a fixed vocabulary is reported. A recently reported phenomenon in machine learning is that there is a tradeoff between the simplicity of concept descriptions and coverage of training instances, and a learning system cannot have both. It is argued that if a learning system can generate new terms, it can achieve both simplicity and coverage. A method for generating one new kind of terms, comparative terms, is given. The experimental results on a mushroom classification task show that a single comparative term can achieve 90% predictive accuracy.
Description Author affiliation: Dept. of Comput. Sci., Pittsburgh Univ., PA, USA (Leng, B.; Buchanan, B.G.)
ISBN 0818629053
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-11-10
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 322.50 kB
Page Count 4
Starting Page 442
Ending Page 445

Source: IEEE Xplore Digital Library