… improved version of sparse pinball twin support vector machine (SPTSVM) [1], called
improved sparse pinball twin support vector machine (ISPTSVM). SPTSVM implements empirical …

… TBSVC using pinball loss (pinTBSVC). Sparse solutions help create better-generalized …
There are several other variations of twin SVM using pinball loss [20], [21], and interested …

… The original twin support vector machine (TWSVM) … -loss SVM (C-SVM) which solves a
single large QPP — this makes the TWSVM training and testing process faster than the C-SVM. …

… Classifiers with higher sparsity level often give better … pinball twin SVM and TWSVC, we
propose a novel sparse … work, which improves the drawbacks in the previous twin SVM …

… TWSVM, in particular, improves SVM classification accuracy … TWSVM, hence, modifies
its hyperplanes so as to better … sparsity, the sparse pinball twin support vector machine (SPTWSVM…

… optimization for SVM with truncated pinball loss along with its sparse version that enhances
… SVM; Pin-M 3 HM [33] has improved the twin hyper-sphere SVM (THSVM) [34] using pin ball …

… method known as twin SVM (TSVM) to improve the computational complexity of SVM. For the
… A sparse SVM model constructs the decision function from a small number of training data …

… minimization principle, improved sparse pinball loss SVM [38] … improved version of general
twin support vector machines with pinball loss (Pin-GTSVM) known as robust general twin …

… inspired by the principles of Twin Support Vector Machine (TWSVM). … To make SPTWSVM
more robust, Improved sparse … Therefore, as a part of future work, we look to improve running …

… This study extends the twin support vector machine with the generalized pinball loss …
Our proposed model reduces the impact of noise and improves classification accuracy. …