Pages that link to "Item:Q1023403"

The following pages link to Elastic-net regularization in learning theory (Q1023403):

Displaying 50 items.

• Accelerated Bregman method for linearly constrained \(\ell _1-\ell _2\) minimization (Q368088) (← links)
• The learning rate of \(l_2\)-coefficient regularized classification with strong loss (Q383667) (← links)
• Proximity for sums of composite functions (Q536271) (← links)
• Consistent learning by composite proximal thresholding (Q681492) (← links)
• Characterization of the equivalence of robustification and regularization in linear and matrix regression (Q723995) (← links)
• Statistical analysis of the moving least-squares method with unbounded sampling (Q726158) (← links)
• Relaxing support vectors for classification (Q744716) (← links)
• The structured elastic net for quantile regression and support vector classification (Q746191) (← links)
• Sparse identification of posynomial models (Q894327) (← links)
• Stability of the elastic net estimator (Q895982) (← links)
• Generalized Kalman smoothing: modeling and algorithms (Q1678609) (← links)
• Sparse learning of the disease severity score for high-dimensional data (Q1693802) (← links)
• Moving horizon estimation for ARMAX processes with additive output noise (Q1730071) (← links)
• Learning rates for least square regressions with coefficient regularization (Q1928153) (← links)
• Concentration estimates for learning with unbounded sampling (Q1946480) (← links)
• Majorization-minimization algorithms for nonsmoothly penalized objective functions (Q1952099) (← links)
• Adaptive kernel methods using the balancing principle (Q1959089) (← links)
• Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem (Q1986778) (← links)
• Sparse approximation of fitting surface by elastic net (Q1993576) (← links)
• Convergence of stochastic proximal gradient algorithm (Q2019902) (← links)
• New regularization method and iteratively reweighted algorithm for sparse vector recovery (Q2033724) (← links)
• Reconstruction of functions from prescribed proximal points (Q2037075) (← links)
• Solving composite fixed point problems with block updates (Q2042410) (← links)
• The use of grossone in elastic net regularization and sparse support vector machines (Q2156901) (← links)
• On an unsupervised method for parameter selection for the elastic net (Q2167641) (← links)
• Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models (Q2222601) (← links)
• Learning sets with separating kernels (Q2252512) (← links)
• Post-Pareto analysis and a new algorithm for the optimal parameter tuning of the elastic net (Q2278891) (← links)
• Consistency of the elastic net under a finite second moment assumption on the noise (Q2317338) (← links)
• A telescopic Bregmanian proximal gradient method without the global Lipschitz continuity assumption (Q2322358) (← links)
• Optimal rates for coefficient-based regularized regression (Q2330932) (← links)
• Boosting as a kernel-based method (Q2331677) (← links)
• Parallel block coordinate minimization with application to group regularized regression (Q2358088) (← links)
• Leading impulse response identification via the elastic net criterion (Q2407167) (← links)
• A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization (Q2431337) (← links)
• On grouping effect of elastic net (Q2637386) (← links)
• Generalized conditional gradient method for elastic-net regularization (Q2667136) (← links)
• On extension theorems and their connection to universal consistency in machine learning (Q2835986) (← links)
• Properties and splitting method for the \(p\)-elastic net (Q2836066) (← links)
• Half supervised coefficient regularization for regression learning with unbounded sampling (Q2855757) (← links)
• Elastic-net regularization versus <i>ℓ</i> ¹ -regularization for linear inverse problems with quasi-sparse solutions (Q2971441) (← links)
• Elastic-Net Regularization: Iterative Algorithms and Asymptotic Behavior of Solutions (Q3068667) (← links)
• Equilibrium of elastic nets (Q3362000) (← links)
• Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data (Q3556804) (← links)
• Generalized System Identification with Stable Spline Kernels (Q4553782) (← links)
• Regularized learning schemes in feature Banach spaces (Q4594821) (← links)
• (Q4706632) (← links)
• ELASTIC-NET REGULARIZATION FOR LOW-RANK MATRIX RECOVERY (Q4917269) (← links)
• (Q4984020) (← links)
• Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems (Q5057996) (← links)