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https://www.worldscientific.com/worldscibooks/10.1142/5089
Nov 01, 2002 · This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory.
https://www.researchgate.net/publication/229058060_Least_Square_Support_Vector_Machine
In this study, the least squares support vector machine (LS-SVM) is proposed to be used for general models as it is as powerful as standard SVMs, but, it has less computational cost [30]. Most, if ...
https://www.sciencedirect.com/science/article/pii/S0019057819303829
Recently, a robust least squares support vector machine (R-LSSVM) was proposed, but its computational complexity is very high compared with the traditional least squares support vector machine (LSSVM). To reduce R-LSSVM’s computational complexity, an improved version, i.e., extended LSSVM (E-LSSVM), is developed in this paper.Author: Yong-Ping Zhao, Jian-Jun Wang, Xiao-Ya Li, Guo-Jin Peng, Zhe Yang
https://www.researchgate.net/publication/308632720_Least_Squares_Support_Vector_Machines
A modified support vector machine (SVM) technique, namely, the least squares support vector machine (LS-SVM), is used to develop and train the thermal sensation classifier [22,23].
https://link.springer.com/article/10.1023%2FA%3A1018628609742
Jun 01, 1999 · Abstract. In this letter we discuss a least squares version for support vector machine (SVM) classifiers. Due to equality type constraints in the formulation, the solution follows from solving a set of linear equations, instead of quadratic programming for classical SVM's.Cited by: 9151
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