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May 29, 2024 · Twin Parameter-margin support vector machine (TPMSVM) is a recent very powerful binary classifier. To improve its sparsity, a linear sparse ...
ABSTRACT. Twin Parameter-margin support vector machine (TPMSVM) is a recent very powerful binary classifier. To improve its sparsity, a linear sparse TPMSVM ...
Jun 1, 2024 · Sparse Learning for Linear Twin Parameter-margin Support Vector Machine ... A Multiclass Robust Twin Parametric Margin Support Vector Machine ...
In this paper, a sparse TSVM classifier in primal space for binary pattern recognition, termed the sparse twin support vector machine (STSVM), is proposed. This ...
Tanveer, “Robust and sparse linear programming twin support vector machines,” Cognitive Computation, vol. 7, no. 1, pp. 137–149, 2015. [7] M. Tanveer ...
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Jan 11, 2024 · Combing the primal least squares twin support vector machine (LS-TSVM) and the sparse LS-SVM with L 0 -norm minimization, a new sparse least ...
Feb 4, 2016 · To overcome these prob- lems, we propose in this paper a robust energy-based least squares twin support vector machine algorithm, called. RELS- ...
Oct 26, 2016 · A GA-based model selection for smooth twin parametric-margin support vector machine ... Sparse pinball twin support vector machines. Applied ...
Mar 18, 2022 · This algorithm is computationally effective as it only requires to solve linear equations in lieu of QPPs in DMTWSVM. Least square twin support ...
Oct 4, 2021 · Robust and sparse linear programming twin support vector machines. ... Twin-parametric margin support vector machine with truncated pinball loss.