Pages that link to "Item:Q2462584"

The following pages link to A general soft method for learning SVM classifiers with \(L_{1}\)-norm penalty (Q2462584):

Displaying 7 items.

• Exploring the trade-off between generalization and empirical errors in a one-norm SVM (Q439563) (← links)
• Clipping algorithms for solving the nearest point problem over reduced convex hulls (Q621999) (← links)
• \(L_{1}\)-norm loss based twin support vector machine for data recognition (Q1671708) (← links)
• Linear convergence rate for the MDM algorithm for the nearest point problem (Q1678696) (← links)
• Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems (Q2035635) (← links)
• A \(\nu \)-twin support vector machine (\(\nu \)-TSVM) classifier and its geometric algorithms (Q2638194) (← links)
• Active Set Iteration Method for New L2 Soft Margin Support Vector Machine (Q3063130) (← links)