Pages that link to "Item:Q1789959"

The following pages link to Learning rates for \(l^1\)-regularized kernel classifiers (Q1789959):

Displaying 15 items.

• The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
• Classification with polynomial kernels and \(l^1\)-coefficient regularization (Q514786) (← links)
• Learning rates for multi-kernel linear programming classifiers (Q537615) (← links)
• Learning by nonsymmetric kernels with data dependent spaces and \(\ell^1\)-regularizer (Q543025) (← links)
• Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces (Q550498) (← links)
• Multi-kernel regularized classifiers (Q870343) (← links)
• Ideal regularization for learning kernels from labels (Q889267) (← links)
• Learning rates for regularized classifiers using multivariate polynomial kernels (Q958248) (← links)
• Optimal learning rates for kernel partial least squares (Q1645280) (← links)
• An approximation theory approach to learning with \(\ell^1\) regularization (Q1944318) (← links)
• Learning rates of kernel-based robust classification (Q2157879) (← links)
• Regularized ranking with convex losses and \(\ell^1\)-penalty (Q2319268) (← links)
• Approximate Minimization of the Regularized Expected Error over Kernel Models (Q3168992) (← links)
• (Q5143577) (← links)
• Learning Rates of <i>l^q</i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)