Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data

High dimensional bioinformatics data sets provide an excellent and challenging research problem in machine learning area. In particular, DNA microarrays generated gene expression data are of high dimension with significant level of noise. Supervised kernel learning with an SVM classifier was success...

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Detalles Bibliográficos
Autores principales: Jiang, Hao, Ching, Wai-Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420228/
https://www.ncbi.nlm.nih.gov/pubmed/22919428
http://dx.doi.org/10.1155/2012/205025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420228/
https://www.ncbi.nlm.nih.gov/pubmed/22919428
http://dx.doi.org/10.1155/2012/205025

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