Pages that link to "Item:Q2880890"

The following pages link to On the consistency of feature selection using greedy least squares regression (Q2880890):

Displaying 31 items.

• Greedy algorithms for prediction (Q265302) (← links)
• Oracle inequalities for the lasso in the Cox model (Q366963) (← links)
• The \(L_1\) penalized LAD estimator for high dimensional linear regression (Q391806) (← links)
• Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization (Q391843) (← links)
• Convergence rate of the semi-supervised greedy algorithm (Q459432) (← links)
• Sparse regression and support recovery with \(\mathbb{L}_2\)-boosting algorithms (Q466526) (← links)
• Structured, sparse regression with application to HIV drug resistance (Q641120) (← links)
• Tight conditions for consistency of variable selection in the context of high dimensionality (Q741803) (← links)
• Variational approximation for heteroscedastic linear models and matching pursuit algorithms (Q746230) (← links)
• \(l_{0}\)-norm based structural sparse least square regression for feature selection (Q1669627) (← links)
• Subspace learning for unsupervised feature selection via matrix factorization (Q1677021) (← links)
• Fitting very large sparse Gaussian graphical models (Q1927038) (← links)
• Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts (Q1950853) (← links)
• A novel T-S fuzzy systems identification with block structured sparse representation (Q2017275) (← links)
• Extending greedy feature selection algorithms to multiple solutions (Q2036770) (← links)
• A forward-backward greedy approach for sparse multiscale learning (Q2083098) (← links)
• Adaptive multi-penalty regularization based on a generalized Lasso path (Q2175012) (← links)
• Correction to: ``Efficient feature selection using shrinkage estimators'' (Q2203329) (← links)
• Regularized greedy column subset selection (Q2215118) (← links)
• Sparse signals recovery from noisy measurements by orthogonal matching pursuit (Q2254767) (← links)
• Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach (Q2425168) (← links)
• Selection of time instants and intervals with support vector regression for multivariate functional data (Q2664383) (← links)
• Reprint of: A forward-backward greedy approach for sparse multiscale learning (Q2679340) (← links)
• (Q4558139) (← links)
• (Q4614120) (← links)
• Stability Selection (Q4632639) (← links)
• Feature Selection for Ridge Regression with Provable Guarantees (Q5380416) (← links)
• (Q5381110) (← links)
• Inconsistency guided robust attribute reduction (Q6186956) (← links)
• Forward stability and model path selection (Q6547741) (← links)
• An Interactive Greedy Approach to Group Sparsity in High Dimensions (Q6621653) (← links)