Pages that link to "Item:Q513636"
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The following pages link to DCA based algorithms for feature selection in multi-class support vector machine (Q513636):
Displaying 17 items.
- Double regularization methods for robust feature selection and SVM classification via DC programming (Q781867) (← links)
- Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm (Q890292) (← links)
- DC programming and DCA: thirty years of developments (Q1749443) (← links)
- D.C. programming for sparse proximal support vector machines (Q2056280) (← links)
- Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression (Q2057761) (← links)
- Alternating DCA for reduced-rank multitask linear regression with covariance matrix estimation (Q2163851) (← links)
- DCA-based algorithms for DC fitting (Q2226279) (← links)
- Feature selection in SVM via polyhedral \(k\)-norm (Q2300635) (← links)
- Feature importance ranking for classification in mixed online environments (Q2329906) (← links)
- A general double-proximal gradient algorithm for d.c. programming (Q2330650) (← links)
- A DC programming approach for feature selection in support vector machines learning (Q2442767) (← links)
- Online Learning Based on Online DCA and Application to Online Classification (Q5131197) (← links)
- Convergence rate analysis of an extrapolated proximal difference-of-convex algorithm (Q6138297) (← links)
- Open issues and recent advances in DC programming and DCA (Q6200375) (← links)
- On the rate of convergence of the difference-of-convex algorithm (DCA) (Q6596346) (← links)
- Comprehensive review on twin support vector machines (Q6601532) (← links)
- Intuitionistic fuzzy least square twin support vector machines for pattern classification (Q6601538) (← links)
