Pages that link to "Item:Q1749103"
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The following pages link to A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure (Q1749103):
Displaying 15 items.
- Image based techniques for crack detection, classification and quantification in asphalt pavement: a review (Q724785) (← links)
- Efficient feature selection based on correlation measure between continuous and discrete features (Q894485) (← links)
- Multi-variable regression methods using modified Chebyshev polynomials of class 2 (Q1624689) (← links)
- An adaptive heuristic for feature selection based on complementarity (Q1722737) (← links)
- Membership-margin based feature selection for mixed type and high-dimensional data: theory and applications (Q1750036) (← links)
- Maximum weight and minimum redundancy: a novel framework for feature subset selection (Q1951275) (← links)
- Feature selection based on fuzzy joint mutual information maximization (Q1980066) (← links)
- Feature grouping and selection: a graph-based approach (Q2055593) (← links)
- A differential evolution based feature combination selection algorithm for high-dimensional data (Q2056344) (← links)
- Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems (Q2200628) (← links)
- Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268) (← links)
- Eliminating redundancy and irrelevance using a new MLP-based feature selection method (Q2575829) (← links)
- Feature selection method based on multi-fractal dimension and harmony search algorithm and its application (Q2821360) (← links)
- A neurodynamic optimization approach to supervised feature selection via fractional programming (Q6078682) (← links)
- Multi-objective optimization for feature selection: a review (Q6610996) (← links)
