Pages that link to "Item:Q3096972"

The following pages link to ONLINE REGRESSION WITH VARYING GAUSSIANS AND NON-IDENTICAL DISTRIBUTIONS (Q3096972):

Displaying 20 items.

• An oracle inequality for regularized risk minimizers with strongly mixing observations (Q373424) (← links)
• Approximation by multivariate Bernstein-Durrmeyer operators and learning rates of least-squares regularized regression with multivariate polynomial kernels (Q390534) (← links)
• Approximation analysis of learning algorithms for support vector regression and quantile regression (Q411126) (← links)
• Online learning for quantile regression and support vector regression (Q451190) (← links)
• Concentration estimates for the moving least-square method in learning theory (Q719353) (← links)
• Stability analysis of learning algorithms for ontology similarity computation (Q2016684) (← links)
• Online Bayesian max-margin subspace learning for multi-view classification and regression (Q2303668) (← links)
• The optimal solution of multi-kernel regularization learning (Q2392006) (← links)
• The multivariate Révész's online estimator of a regression function and its averaging (Q2396740) (← links)
• Causal regression for online estimation of highly nonlinear parametrically varying models (Q2663922) (← links)
• Kernel-based online gradient descent using distributed approach (Q2668552) (← links)
• Learning rates for the risk of kernel-based quantile regression estimators in additive models (Q2805231) (← links)
• Indefinite kernel network with dependent sampling (Q2855474) (← links)
• Strongly consistent online forecasting of centered Gaussian processes (Q4544831) (← links)
• (Q5017105) (← links)
• Online regularized pairwise learning with non-i.i.d. observations (Q5063226) (← links)
• Learning Rates of <i>l^q</i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)
• Regularization schemes for minimum error entropy principle (Q5253870) (← links)
• Learning Rates for Classification with Gaussian Kernels (Q5380881) (← links)
• Online Covariance Matrix Estimation in Stochastic Gradient Descent (Q6107216) (← links)