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https://hdl.handle.net/10356/3415
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chaw, Su Khine. | en_US |
dc.date.accessioned | 2008-09-17T09:29:37Z | - |
dc.date.available | 2008-09-17T09:29:37Z | - |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10356/3415 | - |
dc.description.abstract | Support Vector Machine Classification has been carried out on Cancer and Heart problems derived from Proben 1, an artificial standard benchmarking problem. The results data between SVM and BP will be compared to detect cancer and heart problem and used to contribute to the application of support vector machines in the biomedical aspect. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics | - |
dc.title | Support vector machines for biomedical applications | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Saratchandran, Paramasivan | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Computer Control and Automation) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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EEE-THESES_128.pdf Restricted Access | 4.82 MB | Adobe PDF | View/Open |
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