An efficient algorithm to improve the accuracy and reduce the computations of LS-SVM
We present a novel algorithm, which is called Cutting Algorithm (CA), for improving the accuracy and reducing the computations of the Least Squares Support Vector Machines (LS-SVMs). The method is based on dividing the original problem to some subproblems. Since a master problem is converted to some...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Ferdowsi University of Mashhad
2020-04-01
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Series: | Iranian Journal of Numerical Analysis and Optimization |
Subjects: | |
Online Access: | https://ijnao.um.ac.ir/article_25092_cc4de183838fdbdf7e7a8c7aa2222d58.pdf |