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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Jun Liang, Fei-yun Zhang, Xiao-xia Xiong, Xiao-bo Chen, Long Chen, Guo-hui Lan
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Springer 2016-12-01
Saila:International Journal of Computational Intelligence Systems
Gaiak:
Support vector machines
Generalized eigenvalues
Locality preserving projections
Manifold regularization
Sarrera elektronikoa:https://www.atlantis-press.com/article/25868748/view

Internet

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

Antzeko izenburuak