Pages that link to "Item:Q2293268"

The following pages link to Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268):

Displaying 6 items.

• A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure (Q1749103) (← links)
• Maximum weight and minimum redundancy: a novel framework for feature subset selection (Q1951275) (← links)
• Novel self-adjusted particle swarm optimization algorithm for feature selection (Q2047517) (← links)
• Feature selection and threshold method based on fuzzy joint mutual information (Q2237160) (← links)
• A novel feature selection using Markov blanket representative set and particle swarm optimization algorithm (Q2695662) (← links)
• A neurodynamic optimization approach to supervised feature selection via fractional programming (Q6078682) (← links)