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...

詳細記述

書誌詳細
第一著者: Lazin, Muhamamd Amirul Mat
フォーマット: 学位論文
言語:英語
出版事項: 2025
主題:
オンライン・アクセス:http://eprints.usm.my/62831/
Abstract Abstract here

類似資料