Mario Aldape-Pérez

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Classification is one of the key issues in medical diagnosis. In this paper, a novel approach to perform pattern classification tasks is presented. This model is called Associative Memory based Classifier (AMBC). Throughout the experimental phase, the proposed algorithm is applied to help diagnose diseases; particularly, it is applied in the diagnosis of(More)
Feature selection aims to nd ways to single out the subset of features which best represents the phenomenon at hand and improves performance. This paper presents an approach based on evolutionary computation and the associative paradigm for classication. A wrapper-style search guided by a genetic algorithm uses the Hybrid Associative Classier to evaluate(More)
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