Improved support vector machine using multiple SVM-RFE for cancer classification

• Main Authors: Hasri, N. N. M., Wen, N. H., Howe, C. W., Mohamad, M. S., Deris, S., Kasim, S.
• Format: Article
• Language: English
• Published: Insight Society 2017
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/81260/1/NurulNadzirahHasri2017ImprovedSupportVectorMachineusingMultiple.pdf; http://eprints.utm.my/id/eprint/81260/; http://dx.doi.org/10.18517/ijaseit.7.4-2.3394
• Institution: Universiti Teknologi Malaysia

Support Vector Machine (SVM) is a machine learning method and widely used in the area of cancer studies especially in microarray data. A common problem related to the microarray data is that the size of genes is essentially larger than the number of samples. Although SVM is capable of handling a lar...