Pages that link to "Item:Q2867410"

The following pages link to Learning sparse classifiers with difference of convex functions algorithms (Q2867410):

Displaying 22 items.

• DC approximation approaches for sparse optimization (Q319281) (← links)
• DCA based algorithms for feature selection in multi-class support vector machine (Q513636) (← 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)
• A bilinear formulation for vector sparsity optimization (Q971247) (← links)
• DC programming and DCA: thirty years of developments (Q1749443) (← links)
• Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing (Q1749455) (← links)
• Sparse signal recovery via generalized Gaussian function (Q2154451) (← links)
• Group variable selection via \(\ell_{p,0}\) regularization and application to optimal scoring (Q2185626) (← links)
• Minimizing a sum of clipped convex functions (Q2228412) (← links)
• Solution methodologies for minimizing a sum of pointwise minima of two functions (Q2679000) (← links)
• DC Approximation Approach for ℓ0-minimization in Compressed Sensing (Q2808067) (← links)
• A Method for Reducing the Number of Support Vectors in Fuzzy Support Vector Machine (Q2955911) (← links)
• DC Programming and DCA for General DC Programs (Q3192952) (← links)
• Sparse Covariance Matrix Estimation by DCA-Based Algorithms (Q5380866) (← links)
• A DC Programming Approach for Finding Communities in Networks (Q5383809) (← links)
• Sparse reconstruction via the mixture optimization model with iterative support estimate (Q6065953) (← links)
• Neural network for a class of sparse optimization with \(L_0\)-regularization (Q6077003) (← links)
• Unified SVM algorithm based on LS-DC loss (Q6134358) (← links)
• Open issues and recent advances in DC programming and DCA (Q6200375) (← links)
• Sparse \(L_0\)-norm least squares support vector machine with feature selection (Q6544594) (← links)
• Continuous exact relaxation and alternating proximal gradient algorithm for partial sparse and partial group sparse optimization problems (Q6569683) (← links)