Improved linear classifier model with Nyström

Most data sets consist of interlaced-distributed samples from multiple classes and since these samples always cannot be classified correctly by a linear hyperplane, so we name them nonlinearly separable data sets and corresponding classifiers are named nonlinear classifiers. Traditional nonlinear cl...

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Detalles Bibliográficos
Autores principales: Zhu, Changming, Ji, Xiang, Chen, Chao, Zhou, Rigui, Wei, Lai, Zhang, Xiafen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218068/
https://www.ncbi.nlm.nih.gov/pubmed/30395624
http://dx.doi.org/10.1371/journal.pone.0206798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218068/
https://www.ncbi.nlm.nih.gov/pubmed/30395624
http://dx.doi.org/10.1371/journal.pone.0206798

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