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A Genetic Prototype Learner
1995
International Joint Conference on Artificial Intelligence
Supervised classification problems have received considerable attention from the machine learning community. We propose a novel genetic algorithm based prototype learning system, PLEASE, for this class of problems. Given a set of prototypes for each of the possible classes, the class of an input instance is determined by the prototype nearest to this instance. We assume ordinal attributes and prototypes are represented as sets of feature-value pairs. A genetic algorithm is used to evolve the
dblp:conf/ijcai/SenK95
fatcat:f33hqvzxpzdqxbth57glynkviq