Pages that link to "Item:Q4954021"

The following pages link to Massive data discrimination via linear support vector machines (Q4954021):

Displaying 36 items.

• Approximate functions in a problem of sets separation (Q346819) (← links)
• Exploring the trade-off between generalization and empirical errors in a one-norm SVM (Q439563) (← links)
• Quantile regression with \(\ell_1\)-regularization and Gaussian kernels (Q457695) (← links)
• Analysis of programming properties and the row-column generation method for 1-norm support vector machines (Q460673) (← links)
• Evolution strategies based adaptive \(L_{p}\) LS-SVM (Q545383) (← links)
• Learning errors of linear programming support vector regression (Q552420) (← links)
• Unsupervised and supervised data classification via nonsmooth and global optimization (with comments and rejoinder) (Q1433467) (← links)
• High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
• A new method for solving supervised data classification problems (Q1723858) (← links)
• Optimization approaches to supervised classification (Q1753623) (← links)
• On the sparseness of 1-norm support vector machines (Q1784565) (← links)
• Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions (Q2028458) (← links)
• Optimization problems for machine learning: a survey (Q2029894) (← links)
• Spherical classification of data, a new rule-based learning method (Q2038210) (← links)
• Massive data classification via unconstrained support vector machines (Q2370065) (← links)
• Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion (Q2425243) (← links)
• A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach (Q2670542) (← links)
• Data discrimination via nonlinear generalized support vector machines (Q2760105) (← links)
• Learning sparse classifiers with difference of convex functions algorithms (Q2867410) (← links)
• Least squares twin support vector machine classification via maximum one-class within class variance (Q2885463) (← links)
• Linear and Nonlinear Classifiers of Data with Support Vector Machines and Generalized Support Vector Machines (Q2974716) (← links)
• Dual margin approach on a Lagrangian support vector machine (Q2995471) (← links)
• Least Square Regression with <i>l^p</i>-Coefficient Regularization (Q3067078) (← links)
• (Q3096110) (← links)
• FEATURE SELECTION VIA LEAST SQUARES SUPPORT FEATURE MACHINE (Q3503116) (← links)
• Chunking for massive nonlinear kernel classification (Q3514842) (← links)
• MONOTONIC SUPPORT VECTOR MACHINES FOR CREDIT RISK RATING (Q3646177) (← links)
• (Q4410938) (← links)
• SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming (Q4678449) (← links)
• Max–min separability (Q5317750) (← links)
• Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection (Q5327201) (← links)
• Fast semi-supervised SVM classifiers using<i>a priori</i>metric information (Q5503690) (← links)
• Multicategory proximal support vector machine classifiers (Q5916203) (← links)
• Multicategory proximal support vector machine classifiers (Q5921686) (← links)
• Polyhedral separability through successive LP (Q5959910) (← links)
• Margin optimal classification trees (Q6065640) (← links)