Alternative method to develop new strategy in ordinal regression: a case study in dental
Clinical data usually contain numerous features with a small sample size, resulting in higher dimensionality and poor accuracy. This reduces the performance of classifier systems in high-dimensional data sets because irrelevant features contribute to poor classification accuracy and add extra diffic...
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| Format: | Thesis |
| Language: | English |
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2025
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| Online Access: | http://eprints.usm.my/62831/ http://eprints.usm.my/62831/1/MUHAMAMD%20AMIRUL%20BIN%20MAT%20LAZIN-TESIS%20P-SGM001021%28R%29-E.pdf |