Pages that link to "Item:Q1928153"

The following pages link to Learning rates for least square regressions with coefficient regularization (Q1928153):

Displaying 29 items.

• Learning with coefficient-based regularization and \(\ell^1\)-penalty (Q380980) (← links)
• The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
• Approximation by multivariate Bernstein-Durrmeyer operators and learning rates of least-squares regularized regression with multivariate polynomial kernels (Q390534) (← links)
• Constructive analysis for coefficient regularization regression algorithms (Q491841) (← links)
• Optimal learning rates for least squares regularized regression with unbounded sampling (Q617656) (← links)
• Regularized least-squares regression: learning from a sequence (Q645620) (← links)
• Unified approach to coefficient-based regularized regression (Q651513) (← links)
• Learning rates of least-square regularized regression with polynomial kernels (Q1041518) (← links)
• A simpler approach to coefficient regularized support vector machines regression (Q1722337) (← links)
• Constructive analysis for least squares regression with generalized \(K\)-norm regularization (Q1724159) (← links)
• Coefficient-based \(l^q\)-regularized regression with indefinite kernels and unbounded sampling (Q1784975) (← links)
• Learning theory estimates for coefficient-based regularized regression (Q1940126) (← links)
• Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach (Q2131156) (← links)
• Learning rates for the kernel regularized regression with a differentiable strongly convex loss (Q2191832) (← links)
• Optimal rates for coefficient-based regularized regression (Q2330932) (← links)
• Learning rates of least-square regularized regression (Q2505653) (← links)
• Coefficient-based regularized regression with dependent and unbounded sampling (Q2819179) (← links)
• Half supervised coefficient regularization for regression learning with unbounded sampling (Q2855757) (← links)
• Convergence analysis of coefficient-based regularization under moment incremental condition (Q2874064) (← links)
• Least square regression with coefficient regularization by gradient descent (Q2893483) (← links)
• The convergence rate of learning algorithms for least square regression with sample dependent hypothesis spaces (Q2916787) (← links)
• Learning rates of Tikhonov regularized regressions based on sample dependent RKHS (Q2917676) (← links)
• Optimal rate of the regularized regression learning algorithm (Q3008355) (← links)
• Least Square Regression with <i>l^p</i>-Coefficient Regularization (Q3067078) (← links)
• Estimates of learning rates of regularized regression via polyline functions (Q3118875) (← links)
• Coefficient regularizer based simultaneous regression estimation (Q5064120) (← links)
• Learning Rates of <i>l^q</i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)
• Learning rates for regularized least squares ranking algorithm (Q5356934) (← links)
• Error analysis of kernel regularized pairwise learning with a strongly convex loss (Q6112862) (← links)