… [14] proposed Energy-based least squares twin support vector machine (ELS-TWSVM)
on the lines of LS-TWSVM for activity recognition in which they changed the unit distance …

… [23] proposed an energy-based model of LSTSVM (ELS-TSVM) by … in twin bounded support
vector machine (TBSVM) and least squares recursive projection twin support vector machine …

… Energy-based Least Squares TwinSVM (ELS-TSVM), Robust Energy-based Twin Support
Vector Machines … LSTSVM, we apply it into human action recognition which is one of the active …

… 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), …

… 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 …

… Twin Support Vector Machine (RPTWSVM) classifier to deal with the heteroscedastic noise
present in the human activity recognition … can be modified in the least squares sense so as to …

… , 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 …

… 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-…

… 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 …