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
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English English English |
| 出版: |
2022
|
| 主題: | |
| 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|