Pages that link to "Item:Q5896777"

The following pages link to Combined SVM-based feature selection and classification (Q5896777):

Displaying 47 items.

• Relationship between the optimal solutions of least squares regularized with \(\ell_{0}\)-norm and constrained by \(k\)-sparsity (Q285544) (← links)
• DC approximation approaches for sparse optimization (Q319281) (← links)
• Variational multiplicative noise removal by DC programming (Q333222) (← links)
• Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets (Q424767) (← links)
• A DC programming approach for solving the symmetric eigenvalue complementarity problem (Q429495) (← links)
• Rough approximation of a fuzzy concept on a hybrid attribute information system and its uncertainty measure (Q508652) (← links)
• DCA based algorithms for feature selection in multi-class support vector machine (Q513636) (← links)
• Solve exactly an under determined linear system by minimizing least squares regularized with an \(\ell_0\) penalty (Q650854) (← links)
• Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification (Q743253) (← links)
• Double regularization methods for robust feature selection and SVM classification via DC programming (Q781867) (← links)
• Feature selection for linear SVMs under uncertain data: robust optimization based on difference of convex functions algorithms (Q889303) (← links)
• Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm (Q890292) (← links)
• Efficient feature selection based on correlation measure between continuous and discrete features (Q894485) (← links)
• An efficient kernel matrix evaluation measure (Q941581) (← links)
• Neighborhood rough set based heterogeneous feature subset selection (Q942332) (← links)
• Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation (Q996435) (← links)
• Feature selection via sensitivity analysis of SVM probabilistic outputs (Q1009227) (← links)
• Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm (Q1009249) (← links)
• Feature selection with dynamic mutual information (Q1015191) (← links)
• Sparse high-dimensional fractional-norm support vector machine via DC programming (Q1615094) (← links)
• Robust truss topology optimization via semidefinite programming with complementarity constraints: a difference-of-convex programming approach (Q1616936) (← links)
• Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model (Q1642987) (← links)
• DC programming and DCA for solving Brugnano-Casulli piecewise linear systems (Q1652418) (← links)
• Budget constrained non-monotonic feature selection (Q1669185) (← links)
• High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
• DC programming and DCA: thirty years of developments (Q1749443) (← links)
• A novel embedded min-max approach for feature selection in nonlinear support vector machine classification (Q2030496) (← links)
• A novel quality prediction method based on feature selection considering high dimensional product quality data (Q2086964) (← links)
• Embedded feature-selection support vector machine for driving pattern recognition (Q2263641) (← links)
• A DC programming approach for feature selection in support vector machines learning (Q2442767) (← links)
• Advanced conjoint analysis using feature selection via support vector machines (Q2629697) (← links)
• Optimization based DC programming and DCA for hierarchical clustering (Q2643938) (← links)
• Learning sparse classifiers with difference of convex functions algorithms (Q2867410) (← links)
• A proof of convergence of the concave-convex procedure using Zangwill's theory (Q2919411) (← links)
• (Q3180647) (← links)
• Robust investment strategies with discrete asset choice constraints using DC programming (Q3553750) (← links)
• Feature selection combining linear support vector machines and concave optimization (Q3562388) (← links)
• DC Programming Approach for a Class of Nonconvex Programs Involving l 0 Norm (Q3627717) (← links)
• Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator (Q4685334) (← links)
• (Q4708051) (← links)
• (Q5148983) (← links)
• Incorporating Detractors into SVM Classification (Q5188686) (← links)
• Combined SVM-based feature selection and classification (Q5920547) (← links)
• Dual self-paced multi-view clustering (Q6078759) (← links)
• The descent algorithm for solving the symmetric eigenvalue complementarity problem (Q6097703) (← links)
• Information-theoretic partially labeled heterogeneous feature selection based on neighborhood rough sets (Q6099387) (← links)
• FSPL: a meta-learning approach for a filter and embedded feature selection pipeline (Q6100072) (← links)