DocumentCode
1651682
Title
An integer programming approach to inductive learning using genetic algorithm
Author
Kacprzyk, Janusz ; Szkatula, Grazyna
Author_Institution
Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland
Volume
1
fYear
2002
Firstpage
181
Lastpage
186
Abstract
We propose an improved inductive learning method to derive classification rules that correctly describe most of the examples belonging to a class and do not describe most of the examples not belonging to this class. The problem is represented as a modification of the set covering problems solved by a genetic algorithm. The results are very encouraging
Keywords
genetic algorithms; integer programming; learning by example; minimisation; classification rules; genetic algorithm; inductive learning; integer programming approach; set covering problems; Convergence; Electronic mail; Frequency; Genetic algorithms; Learning systems; Linear programming; Machine learning; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006230
Filename
1006230
Link To Document