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A variable selection approach based on the Delta Test for Extreme Learning Machine models
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10

August 2024

2024/2025

A+
eal-life problems it is convenient to reduce the number of involved features (variables) in order to reduce the complexity, especially when the number of features is large compared to the number of observations. There are several criteria to tackle this variable reduction problem. Three of the most common are: maximization of the mutual information (MI) between the inputs and the outputs, minimization of the k-nearest neighbors (k-NN) leave-one-out generalization error estimate and minimiz...
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