The following pages link to (Q3546379):
Displaying 27 items.
- Supervised classification and mathematical optimization (Q339559) (← links)
- Exploring the trade-off between generalization and empirical errors in a one-norm SVM (Q439563) (← links)
- Analysis of programming properties and the row-column generation method for 1-norm support vector machines (Q460673) (← links)
- Lagrangian support vector regression via unconstrained convex minimization (Q470224) (← links)
- Sparse ensembles using weighted combination methods based on linear programming (Q609179) (← links)
- The sparse signomial classification and regression model (Q744718) (← links)
- An improved robust and sparse twin support vector regression via linear programming (Q894317) (← links)
- Sparse high-dimensional fractional-norm support vector machine via DC programming (Q1615094) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- On the sparseness of 1-norm support vector machines (Q1784565) (← links)
- D.C. programming for sparse proximal support vector machines (Q2056280) (← links)
- A generalized Newton algorithm for quantile regression models (Q2259794) (← links)
- Certifiably optimal sparse principal component analysis (Q2293653) (← links)
- A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning (Q2333729) (← links)
- Massive data classification via unconstrained support vector machines (Q2370065) (← links)
- Support vector machines with different norms: Motivation, formulations and results (Q2748200) (← links)
- Exactness conditions for a convex differentiable exterior penalty for linear programming (Q2996786) (← links)
- On $\ell_p$-Support Vector Machines and Multidimensional Kernels (Q4969046) (← links)
- Efficient detailed design optimization of topology optimization concepts by using support vector machines and metamodels (Q5059386) (← links)
- Linear programming twin support vector regression (Q5155904) (← links)
- Subsampled Hessian Newton Methods for Supervised Learning (Q5380307) (← links)
- Linear programming with nonparametric penalty programs and iterated thresholding (Q5882227) (← links)
- Nonlinear optimization and support vector machines (Q5915690) (← links)
- Nonlinear optimization and support vector machines (Q5918754) (← links)
- Margin optimal classification trees (Q6065640) (← links)
- Sparse \(L_0\)-norm least squares support vector machine with feature selection (Q6544594) (← links)
- Dual formulation of the sparsity constrained optimization problem: application to classification (Q6585821) (← links)
