Search Results for author: M. Remedios Sillero-Denamiel

Found 2 papers, 0 papers with code

Variable selection for Naïve Bayes classification

no code implementations31 Jan 2024 Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel

However, features are usually correlated, a fact that violates the Na\"ive Bayes' assumption of conditional independence, and may deteriorate the method's performance.

Classification feature selection +1

A cost-sensitive constrained Lasso

no code implementations31 Jan 2024 Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo, M. Remedios Sillero-Denamiel

The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature.

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