Integration of Machine Learning and Knowledge Acquisition with a Genetic Algorithm
نویسنده
چکیده
Inductive inference techniques are showing signs of maturity as applications with real-world data are emerging. Techniques that allow symbolic representation of the acquired knowledge allow for its validation, revision and understanding by human experts. EFOPREL v 1.1(Evolutionary First Order PREdicate Logic) is an inductive and supervised learning system of rst order predicate logic rules using a genetic algorithm for searching the space of theories explaining the set of examples. EFOPREL contributes to computer assisted knowledge acquisition because it allows discovery of exible and/or alternative rules from examples. Moreover, EFOPREL integrates sources of knowledge and establishes collaboration between the genetic searcher and the human expert.
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