In this paper, we proposed a new robust twin support vector machine (called ) via second order cone programming formulations for classification.
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In this paper, we proposed a new robust twin support vector machine (called R-TWSVM) via second order cone programming formulations for classification, ...
PSO and QPSO are the swarm intelligence optimization al- gorithms with strong robustness and good global searching ability. Compared with the classical TWSVM, ...
Robust twin support vector machine for pattern classification
dl.acm.org › doi › j.patcog.2012.06.019
In this paper, we proposed a new robust twin support vector machine (called R-TWSVM) via second order cone programming formulations for classification.
It is proved that the standard SVM is the special case of ITSVM, which can be solved efficiently by the successive overrelaxation (SOR) technique or ...
Aug 29, 2024 · Abstract page for arXiv paper 2408.16336: GL-TSVM: A robust and smooth twin support vector machine with guardian loss function.
Oct 22, 2024 · ... This algorithm has an extra regularization term which makes its learning speed comparable to TWSVM but obtains better generalization ability ...
May 16, 2017 · In this paper, we propose a robust parametric twin support vector machine (RPTWSVM) classifier based on Parametric- ν -Support Vector ...
This document summarizes a new robust twin support vector machine (R-TWSVM) method for pattern classification that can handle data with measurement noise.
A new binary classification learning method is proposed via introducing L a ε , which is called the robust twin support vector machine (Linex-TSVM).