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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jun Liang, Fei-yun Zhang, Xiao-xia Xiong, Xiao-bo Chen, Long Chen, Guo-hui Lan
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Springer 2016-12-01
Sarja:International Journal of Computational Intelligence Systems
Aiheet:
Support vector machines
Generalized eigenvalues
Locality preserving projections
Manifold regularization
Linkit:https://www.atlantis-press.com/article/25868748/view

Internet

https://www.atlantis-press.com/article/25868748/view

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