Searching for Weighted Least Squares Twin Support Vector Machines information? Find all needed info by using official links provided below.
https://www.sciencedirect.com/science/article/pii/S0925231215001708
Recently proposed least squares projection twin support vector machine (LSPTSVM), as a variant of projection twin support vector machine (PTSVM), attempts to further enhance the performance of PTSVM, whose solution follows from solving two sets of linear equations whereas PTSVM needs to solve two quadratic programming problems along with two sets of linear equations.Cited by: 19
https://www.iis.sinica.edu.tw/page/jise/2014/201411_06.pdf
2.2 Least Squares Twin Support Vector Machine To further improve the computational speed of classifier, LS-TSVM [8] was pro-posed in the spirit of TSVM, and it seeks to solve a pair of smaller-sized QPPs rather than a single large-sized one as in LS-SVM. The illustration of the least squares TSVM is shown as Fig. 2. Fig. 2.
https://www.sciencedirect.com/science/article/abs/pii/S0925231215001708
Recently proposed least squares projection twin support vector machine (LSPTSVM), as a variant of projection twin support vector machine (PTSVM), attempts to further enhance the performance of PTSVM, whose solution follows from solving two sets of linear equations whereas PTSVM needs to solve two quadratic programming problems along with two sets of linear equations.Cited by: 19
https://link.springer.com/article/10.1007/s11063-016-9527-9
May 12, 2016 · In particular, for the least squares case, the intractable computational burden may be incurred for large scale data. To address the above problems, we propose the double-weighted least squares twin bounded support vector machines and develop the online learning algorithms.Cited by: 6
https://link.springer.com/article/10.1007/s11771-015-2794-1
Jul 14, 2015 · A least squares version of the recently proposed weighted twin support vector machine with local information (WLTSVM) for binary classification is formulated. This formulation leads to an extremely simple and fast algorithm, called least squares weighted twin support vector machine with local information (LSWLTSVM), for generating binary classifiers based on two non-parallel hyperplanes. …Author: Xiao-peng Hua, Sen Xu, Xian-feng Li
https://www.researchgate.net/publication/323660342_Twin_Support_Vector_Machines_A_Survey
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two …
https://ieeexplore.ieee.org/document/5451483/
Feb 28, 2010 · In this paper we propose a weighted version of recently developed least squares twin support vector machine (LSTSVM) for pattern classification, in which d
https://www.researchgate.net/publication/303090870_Online_Learning_Algorithms_for_Double-Weighted_Least_Squares_Twin_Bounded_Support_Vector_Machines
Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines Article in Neural Processing Letters 45(1) · May 2016 with 30 Reads How we measure 'reads'
https://www.hindawi.com/journals/aans/2015/265637/
The proposed model adopts weighted least squares twin support vector machine (WLSTSVM) as a classification approach, sequential forward selection (SFS) as a search strategy, and correlation feature selection (CFS) to evaluate the importance of each feature.Cited by: 22
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