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

Bibliographic Details
Main Author: Oyekunle, Adeleke Abdullahi
Format: Thesis
Language:English
English
English
Published: 2022
Subjects:
TS155-194 Production management. Operations management
Online Access:http://eprints.uthm.edu.my/8378/
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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http://eprints.uthm.edu.my/8378/
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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