Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem

Improved classifier chain methods based on heuristic optimization techniques for multi-label classification problem

This thesis is about proposing multi-label classification (MLC) techniques for classification applications. In MLC, the task is to develop models that could predict multiple class labels

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書目詳細資料
主要作者:	Oyekunle, Adeleke Abdullahi
格式:	Thesis
語言:	English English English
出版:	2022
主題:	TS155-194 Production management Operations management
在線閱讀:	http://eprints.uthm.edu.my/8378/1/24p%20ADELEKE%20ABDULLAHI%20OYEKUNLE.pdf http://eprints.uthm.edu.my/8378/2/ADELEKE%20ABDULLAHI%20OYEKUNLE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8378/3/ADELEKE%20ABDULLAHI%20OYEKUNLE%20WATERMARK.pdf
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