Pages that link to "Item:Q2282123"

The following pages link to Tuning kernel parameters for SVM based on expected square distance ratio (Q2282123):

Displaying 8 items.

• Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space (Q1010078) (← links)
• Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique (Q1669630) (← links)
• Probability distribution and deviation information fusion driven support vector regression model and its application (Q1993344) (← links)
• Support vector machine with Dirichlet feature mapping (Q2179295) (← links)
• Remote sensing image classification based on the optimal support vector machine and modified binary coded ant colony optimization algorithm (Q2293173) (← links)
• Learning the kernel parameters in kernel minimum distance classifier (Q2573639) (← links)
• Research on selection method of kernel function (Q5194251) (← links)
• A high-order norm-product regularized multiple kernel learning framework for kernel optimization (Q6191155) (← links)