Abstract
Feature Selection plays an important role in machine learning, as irrelevant and/or redundant features may reduce the quality and comprehensibility of the hypotheses induced by supervised learning algorithms. This work proposes the evaluation of a new feature selection strategy using mutual information, which will be estimated using a new method, recently proposed, related to the estimati…