Pages that link to "Item:Q2708444"

The following pages link to Formulations of support vector machines: A note from an optimization point of view (Q2708444):

Displaying 12 items.

• Stream-suitable optimization algorithms for some soft-margin support vector machine variants (Q145488) (← links)
• A kernel-based framework to tensorial data analysis (Q456010) (← links)
• Clustering analysis of gene expression data based on semi-supervised visual clustering algorithm (Q855185) (← links)
• Dual unification of bi-class support vector machine formulations (Q2495926) (← links)
• Training \(\nu\)-support vector classifiers: Theory and algorithms (Q2784811) (← links)
• Leave-One-Out Bounds for Support Vector Regression Model Selection (Q4678450) (← links)
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel (Q4816963) (← links)
• Parameter selection of Gaussian kernel SVM based on local density of training set (Q5153272) (← links)
• Closed-Form Expressions for Projectors onto Polyhedral Sets in Hilbert Spaces (Q5348473) (← links)
• A tutorial on <i>ν</i>‐support vector machines (Q5467277) (← links)
• Nonlinear optimization and support vector machines (Q5915690) (← links)
• Nonlinear optimization and support vector machines (Q5918754) (← links)