Pages that link to "Item:Q2191832"
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The following pages link to Learning rates for the kernel regularized regression with a differentiable strongly convex loss (Q2191832):
Displaying 13 items.
- The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
- Learning rates of multi-kernel regularized regression (Q974504) (← links)
- Optimal learning rates for kernel partial least squares (Q1645280) (← links)
- Learning rates of kernel-based robust classification (Q2157879) (← links)
- Iterative regularization for learning with convex loss functions (Q2810891) (← links)
- Learning rates of regression with \(q\)-norm loss and threshold (Q2835987) (← links)
- Error analysis of the kernel regularized regression based on refined convex losses and RKBSs (Q5022936) (← links)
- (Q5143577) (← links)
- Learning Rates of <i>l<sup>q</sup></i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)
- Convergence analysis for kernel-regularized online regression associated with an RRKHS (Q6110943) (← links)
- Error analysis of kernel regularized pairwise learning with a strongly convex loss (Q6112862) (← links)
- Moduli of smoothness, \(K\)-functionals and Jackson-type inequalities associated with Kernel function approximation in learning theory (Q6587592) (← links)
- Reproducing property of bounded linear operators and kernel regularized least square regressions (Q6591721) (← links)
