Investigation of improved evolutionary feature selection techniques for biomedical applications
In the hypothesis of pattern recognition, the classification of medical datasets is becoming a challenging task due to the large number of features and training data limitations. Redundancies present in these irrelevant features affect the overall classification accuracy. Such insurmountable issu...
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Perlis (UniMAP)
2019
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| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/60844 |
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