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Mostrando ítems 1-4 de 4
Artículo
Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, such as evolutionary ...
Artículo
Natural Encoding for Evolutionary Supervised Learning
(IEEE, 2007)
Some of the most influential factors in the quality of the solutions found by an evolutionary algorithm (EA) are a correct coding of the search space and an appropriate evaluation function of the potential solutions. ...
Artículo
Evolutionary Learning of Hierarchical Decision Rules
(IEEE, 2003)
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HIDER), for learning rules in continuous and discrete domains. The algorithm produces a hierarchical set of rules, that is, ...
Artículo
Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous and discrete domains based on evolutionary algorithms. The main contributions of our approach are ...