1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2017★ 1 cited
Theoretical Foundations of Forward Feature Selection Methods based on Mutual Information
Francisco Macedo, M. Rosário Oliveira, António Pacheco +1
Feature selection problems arise in a variety of applications, such as microarray analysis, clinical prediction, text categorization, image classification and face recognition, mul…
stat.ML2016★ 1 cited
Theoretical Evaluation of Feature Selection Methods based on Mutual Information
Cláudia Pascoal, M. Rosário Oliveira, António Pacheco +1
Feature selection methods are usually evaluated by wrapping specific classifiers and datasets in the evaluation process, resulting very often in unfair comparisons between methods.…