Cargando…
A Novel Support Vector Machine with Globality-Locality Preserving
Support vector machine (SVM) is regarded as a powerful method for pattern classification. However, the solution of the primal optimal model of SVM is susceptible for class distribution and may result in a nonrobust solution. In order to overcome this shortcoming, an improved model, support vector ma...
Autores principales: | Ma, Cheng-Long, Yuan, Yu-Bo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086371/ https://www.ncbi.nlm.nih.gov/pubmed/25045750 http://dx.doi.org/10.1155/2014/872697 |
Ejemplares similares
-
Privacy Preserving RBF Kernel Support Vector Machine
por: Li, Haoran, et al.
Publicado: (2014) -
Global-local least-squares support vector machine (GLocal-LS-SVM)
por: Youssef Ali Amer, Ahmed
Publicado: (2023) -
Molecular Prognostic Prediction for Locally Advanced Nasopharyngeal Carcinoma by Support Vector Machine Integrated Approach
por: Wan, Xiang-Bo, et al.
Publicado: (2012) -
Support vector machines applications
por: Ma, Yunqian, et al.
Publicado: (2014) -
A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM)
por: Guo, Chao-Yu, et al.
Publicado: (2020)