Pages that link to "Item:Q380980"
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The following pages link to Learning with coefficient-based regularization and \(\ell^1\)-penalty (Q380980):
Displaying 25 items.
- Statistical consistency of coefficient-based conditional quantile regression (Q290691) (← links)
- Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels (Q370936) (← links)
- The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
- Unified approach to coefficient-based regularized regression (Q651513) (← links)
- Error analysis for coefficient-based regularized regression in additive models (Q1698243) (← links)
- Learning rates for least square regressions with coefficient regularization (Q1928153) (← links)
- \(\ell _{1}\)-regularized linear regression: persistence and oracle inequalities (Q1930861) (← links)
- Learning theory estimates for coefficient-based regularized regression (Q1940126) (← links)
- An approximation theory approach to learning with \(\ell^1\) regularization (Q1944318) (← links)
- Multi-task learning in vector-valued reproducing kernel Banach spaces with the \(\ell^1\) norm (Q1996886) (← links)
- Moving quantile regression (Q2301045) (← links)
- Optimal rates for coefficient-based regularized regression (Q2330932) (← links)
- Sparse regularized learning in the reproducing kernel Banach spaces with the \(\ell^1\) norm (Q2668579) (← links)
- Half supervised coefficient regularization for regression learning with unbounded sampling (Q2855757) (← links)
- Least square regression with coefficient regularization by gradient descent (Q2893483) (← links)
- Least Square Regression with <i>l<sup>p</sup></i>-Coefficient Regularization (Q3067078) (← links)
- Gradient descent for robust kernel-based regression (Q4571003) (← links)
- Nyström subsampling method for coefficient-based regularized regression (Q4968314) (← links)
- Coefficient regularizer based simultaneous regression estimation (Q5064120) (← links)
- Coefficient-based regularization network with variance loss for error (Q5150110) (← links)
- (Q5214255) (← links)
- Distributed learning with indefinite kernels (Q5236752) (← links)
- Learning rates for regularized least squares ranking algorithm (Q5356934) (← links)
- (Q5419932) (← links)
- Iterative kernel regression with preconditioning (Q6587596) (← links)