86 citations · 290 across the 7 of their papers we have counts for
3 papers · 1 filter
Variable selection for Naïve Bayes classification
Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo +1
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, features are usually correlated, a fact that violates the Na…
A cost-sensitive constrained Lasso
Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo +1
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. Although the Lasso formulations are stated so that overall pre…
Cost-sensitive Feature Selection for Support Vector Machines
Sandra Benítez-Peña, Rafael Blanquero, Emilio Carrizosa +1
Feature Selection is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more in…