53 citations · 106 across the 8 of their papers we have counts for
Showing 2019 · cs.LGShow all
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cs.LG2019★ 16 cited
A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos +1
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge…
cs.LG2019★ 53 cited
Distributed Correlation-Based Feature Selection in Spark
Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodriguez +1
CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains. We describe Distributed CFS (DiCFS) as a…