… To further boost the performance, least squares twin support vector machines (LSTSVM) [18]
generate two proximal hyperplanes by solving a system of linear equations. Unlike TWSVM …

… machines (TWSVMs). However, both SVM and … energy- based least squares projection
TWSVM (RELSPTSVM) for the classification of EEG signals. Unlike TWSVM- based models that …

… an improved version of structural least square twin support vector machine (S-LSTWSVM),
called energy-based structural least square twin support vector machine (ES-LSTWSVM), …

… , non-parallel plane support vector machines have become a … Twin support vector machine
(TWSVM) (Jayadeva et al., 2007… support vector machines have been proposed, such as least …

… n, a classifier such as Support Vector Machine requires to … Structural Least Squares Twin
Support Tensor Machine for the … to report our results on human activity recognition dataset. It …

… In the last decade, twin support vector machine (TWSVM) … large-scale least squares
twin support vector machine (LS-… Further, robust energy-based least squares twin SVM (RELS-…

… Further, the application in the field of human activity recognition is explored in the paper. …
(2020a) proposed efficient large scale least squares twin support vector machines (LS-…

… class twin support vector machines (KWMTSVM) is a novel multi-class classification method.
In this paper, we propose a novel least squares … the slack variables using squares of 2-norm …

… [16] included one more regularization term to TWSVM and proposed a new variant termed
as twin bounded support vector machine (TBSVM). The formulation of TWSVM can be viewed …

… [42] proposed weighted twin support vector machines with … an energy-based least squares
twin support vector machine (… neighbor-based structural twin support vector machine (KNN-…