The following pages link to (Q3093229):
Displaying 50 items.
- Regularization of case-specific parameters for robustness and efficiency (Q252778) (← links)
- Sparse estimation via nonconcave penalized likelihood in factor analysis model (Q261015) (← links)
- Tikhonov, Ivanov and Morozov regularization for support vector machine learning (Q285946) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data (Q429611) (← links)
- Multi-output learning via spectral filtering (Q439000) (← links)
- Exploring the trade-off between generalization and empirical errors in a one-norm SVM (Q439563) (← links)
- Comment on: ``Support vector machines with applications'' (Q449733) (← links)
- Accurate on-line \(\nu\)-support vector learning (Q456025) (← links)
- Optimal computational and statistical rates of convergence for sparse nonconvex learning problems (Q482875) (← links)
- Evolution strategies based adaptive \(L_{p}\) LS-SVM (Q545383) (← links)
- Functional methods for classification of different petrographic varieties by means of reflectance spectra (Q632152) (← links)
- The solution path of the generalized lasso (Q638794) (← links)
- Machine learning with squared-loss mutual information (Q742658) (← links)
- The structured elastic net for quantile regression and support vector classification (Q746191) (← links)
- APPLE: approximate path for penalized likelihood estimators (Q746326) (← links)
- Another look at linear programming for feature selection via methods of regularization (Q746339) (← links)
- Direct conditional probability density estimation with sparse feature selection (Q747244) (← links)
- Prototype selection for interpretable classification (Q765979) (← links)
- Terminated Ramp--Support Vector machines: A nonparametric data dependent kernel (Q858897) (← links)
- Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation (Q892458) (← links)
- An experimental comparison of cross-validation techniques for estimating the area under the ROC curve (Q901569) (← links)
- Gene selection and prediction for cancer classification using support vector machines with a reject option (Q901576) (← links)
- Multiple instance classification via successive linear programming (Q933822) (← links)
- Financial market forecasting using a two-step kernel learning method for the support vector regression (Q970173) (← links)
- Least angle and \(\ell _{1}\) penalized regression: a review (Q975564) (← links)
- When do stepwise algorithms meet subset selection criteria? (Q995431) (← links)
- Support vector machines for classification of aggregates by means of IR-spectra (Q1001144) (← links)
- Group subset selection for linear regression (Q1623472) (← links)
- Incremental learning for \(\nu\)-support vector regression (Q1669094) (← links)
- Optimizing area under the ROC curve using semi-supervised learning (Q1677038) (← links)
- Varying coefficient support vector machines (Q1686375) (← links)
- Distribution-free high-dimensional two-sample tests based on discriminating hyperplanes (Q1694021) (← links)
- Homotopy continuation approaches for robust SV classification and regression (Q1697922) (← links)
- Dimensionality reduction for density ratio estimation in high-dimensional spaces (Q1784536) (← links)
- The equivalence of support vector machine and regularization neural networks (Q1857735) (← links)
- Least angle regression. (With discussion) (Q1879940) (← links)
- Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation (Q1926013) (← links)
- Multi-parametric solution-path algorithm for instance-weighted support vector machines (Q1945116) (← links)
- Dimension reduction and variable selection in case control studies via regularized likelihood optimization (Q1952024) (← links)
- Bias of homotopic gradient descent for the hinge loss (Q2045131) (← links)
- Geometric insights into support vector machine behavior using the KKT conditions (Q2074327) (← links)
- Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation (Q2087410) (← links)
- LASSO for streaming data with adaptative filtering (Q2104007) (← links)
- Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
- The regularization paths for the ROC-optimizing support vector machines (Q2131901) (← links)
- A regularization path algorithm for support vector ordinal regression (Q2179297) (← links)
- The discovery of mean square error consistency of a ridge estimator (Q2267611) (← links)
- Active learning with adaptive regularization (Q2275989) (← links)
- Hyper-parameter optimization for support vector machines using stochastic gradient descent and dual coordinate descent (Q2308188) (← links)
