Classification for large number of variables with two imbalanced groups

Classification for large number of variables with two imbalanced groups

In the presence of group imbalance and large number of variables problems, traditional classification algorithms tend to be biased towards the majority group. Several approaches have been devoted to study such problems using linear and non-linear classification rules, but limited to group imbalance...

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書目詳細資料
主要作者:	Ahmad Hakiim, Jamaluddin
格式:	Thesis
語言:	eng eng eng eng
出版:	2020
主題:	QA Mathematics
在線閱讀:	https://etd.uum.edu.my/8600/1/DEPOSIT%20PERMISSION%20NOT%20ALLOW_s822665.pdf https://etd.uum.edu.my/8600/2/s822665_01.pdf https://etd.uum.edu.my/8600/3/s822665_02.pdf https://etd.uum.edu.my/8600/4/s822665_references.docx
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