Pages that link to "Item:Q1041518"

The following pages link to Learning rates of least-square regularized regression with polynomial kernels (Q1041518):

Displaying 15 items.

• On the need for structure modelling in sequence prediction (Q331679) (← links)
• Learning rates of regularized regression on the unit sphere (Q365838) (← links)
• Approximation by multivariate Bernstein-Durrmeyer operators and learning rates of least-squares regularized regression with multivariate polynomial kernels (Q390534) (← links)
• Estimation of convergence rate for multi-regression learning algorithm (Q439762) (← links)
• Classification with polynomial kernels and \(l^1\)-coefficient regularization (Q514786) (← links)
• Learning theory viewpoint of approximation by positive linear operators (Q630715) (← links)
• Learning rates for regularized classifiers using multivariate polynomial kernels (Q958248) (← links)
• Optimal learning rates for kernel partial least squares (Q1645280) (← links)
• Learning rates for least square regressions with coefficient regularization (Q1928153) (← links)
• The convergence rates of Shannon sampling learning algorithms (Q2392948) (← links)
• Learning rates of least-square regularized regression (Q2505653) (← links)
• The convergence rate of learning algorithms for least square regression with sample dependent hypothesis spaces (Q2916787) (← links)
• Optimal rate of the regularized regression learning algorithm (Q3008355) (← links)
• Estimates of learning rates of regularized regression via polyline functions (Q3118875) (← links)
• Learning Rates of <i>l^q</i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)