Pages that link to "Item:Q2642804"

The following pages link to Classifiers of support vector machine type with \(\ell_1\) complexity regularization (Q2642804):

Displaying 34 items.

• The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
• Oracle properties of SCAD-penalized support vector machine (Q433741) (← links)
• Optimal rates for plug-in estimators of density level sets (Q605890) (← links)
• Support vector machines with a reject option (Q654412) (← links)
• Fast learning rates for plug-in classifiers (Q995418) (← links)
• Elastic-net regularization in learning theory (Q1023403) (← links)
• Growing support vector classifiers with controlled complexity. (Q1403745) (← links)
• Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space (Q1750287) (← links)
• Support vector machines regression with \(l^1\)-regularizer (Q1759352) (← links)
• Regularized ranking with convex losses and \(\ell^1\)-penalty (Q2319268) (← links)
• High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← links)
• Statistical performance of support vector machines (Q2426613) (← links)
• High-dimensional generalized linear models and the lasso (Q2426617) (← links)
• Simultaneous adaptation to the margin and to complexity in classification (Q2456017) (← links)
• Quadratic surface support vector machine with L1 norm regularization (Q2673397) (← links)
• Kernel methods for independence measurement with coefficient constraints (Q2874062) (← links)
• A \(q\)-norm regularizing least-square-support-vector-machine linear classifier algorithm via iterative reweighted conjugate gradient (Q2927343) (← links)
• ℓ¹-Norm support vector machine for ranking with exponentially strongly mixing sequence (Q2930104) (← links)
• Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model (Q2954238) (← links)
• (Q2958600) (← links)
• Least Square Regression with <i>l^p</i>-Coefficient Regularization (Q3067078) (← links)
• (Q3093402) (← links)
• Sample Complexity of Classifiers Taking Values in ℝ^<i>Q</i>, Application to Multi-Class SVMs (Q3562430) (← links)
• The Group Lasso for Logistic Regression (Q3631444) (← links)
• Overlapping group lasso for high-dimensional generalized linear models (Q5076945) (← links)
• (Q5159402) (← links)
• Spatially adaptive binary classifier using B-splines and total variation penalty (Q5240636) (← links)
• Learning rates for partially linear support vector machine in high dimensions (Q5856267) (← links)
• Quasi-likelihood and/or robust estimation in high dimensions (Q5965304) (← links)
• Fast convergence rates of deep neural networks for classification (Q6078714) (← links)
• Optimal discriminant analysis in high-dimensional latent factor models (Q6136589) (← links)
• Optimal convergence rates of deep neural networks in a classification setting (Q6184926) (← links)
• A survey on Neyman-Pearson classification and suggestions for future research (Q6604482) (← links)
• The statistical rate for support matrix machines under low rankness and row (column) sparsity (Q6640100) (← links)