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- W1575666279 abstract "The paper describes a learning environment named DEL-VAUX for classification tasks that learns Bayesian rule-sets from sets of examples. A genetic algorithm approach is used for this purpose, in which a population consists of sets of rule-sets that generate offspring through the exchange of rules, permitting fitter rule-sets to produce offspring with a higher probability. A bucket brigade algorithm for Bayesian rule-sets called reward punishment mechanism is introduced, which evaluates the performance of a Bayesian rule within a rule-set. It employs fuzzy techniques to measure the ”goodness” of a rule within a rule-set." @default.
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- W1575666279 date "1994-01-01" @default.
- W1575666279 modified "2023-09-27" @default.
- W1575666279 title "Evaluation and enhancement of Bayesian rule-sets in a genetic algorithm learning environment for classification tasks" @default.
- W1575666279 cites W1968621689 @default.
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- W1575666279 doi "https://doi.org/10.1007/3-540-58495-1_37" @default.
- W1575666279 hasPublicationYear "1994" @default.
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