Improved support vector machine using multiple SVM-RFE for cancer classification
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...
Saved in:
Main Authors: | Mohd Hasri, Nurul Nadzirah, Nies, Hui Wen, Chan, Weng Howe, Mohamad, Mohd Saberi, Deris, Safaai, Kasim, Shahreen |
---|---|
Format: | Article |
Language: | English |
Published: |
Insight - Indonesian Society for Knowledge and Human Development
2017
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/3338/1/AJ%202017%20%28479%29.pdf http://eprints.uthm.edu.my/3338/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new biometric matching fingerprints system for personal authentication using R305
by: Urooj Khan, Samra, et al.
Published: (2020) -
Development of a smart factory prototype in context of industry 4.0
by: Mohammad, Ubaidullah
Published: (2020) -
How Industry 4.0 technologies and open innovation can improve green innovation performance?
by: Mubarak, Muhammad Faraz, et al.
Published: (2021) -
Perbandingan kesedaran pelajar terhadap amalan keselamatan di
UTHM Dan KKTM
by: Mokhairi, Muhammad Nurfirdaus, et al.
Published: (2020) -
Thumb-tip force estimation and analysis
by: Sidek, Shahrul Na'im
Published: (2012)