Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue

Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue

Proximal support vector machine via generalized eigenvalue (GEPSVM) is a recently proposed binary classification technique which aims to seek two nonparallel planes so that each one is closest to one of the two datasets while furthest away from the other. In this paper, we proposed a novel method ca...

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Bibliographic Details
Main Authors: Jun Liang, Fei-yun Zhang, Xiao-xia Xiong, Xiao-bo Chen, Long Chen, Guo-hui Lan
Format: Article
Language:English
Published: Springer 2016-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Support vector machines
Generalized eigenvalues
Locality preserving projections
Manifold regularization
Online Access:https://www.atlantis-press.com/article/25868748/view

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