Pages that link to "Item:Q2638194"

The following pages link to A \(\nu \)-twin support vector machine (\(\nu \)-TSVM) classifier and its geometric algorithms (Q2638194):

Displaying 11 items.

• A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization (Q497132) (← links)
• Structural regularized projection twin support vector machine for data classification (Q506330) (← links)
• Twin Mahalanobis distance-based support vector machines for pattern recognition (Q712487) (← links)
• \(L_{1}\)-norm loss based twin support vector machine for data recognition (Q1671708) (← links)
• Smooth augmented Lagrangian method for twin bounded support vector machine (Q2092290) (← links)
• TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition (Q2276011) (← links)
• A twin-hypersphere support vector machine classifier and the fast learning algorithm (Q2510512) (← links)
• Incremental and decremental fuzzy bounded twin support vector machine (Q2663581) (← links)
• Ramp loss for twin multi-class support vector classification (Q5026718) (← links)
• On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization (Q6092065) (← links)
• Comprehensive review on twin support vector machines (Q6601532) (← links)