Dimensionality Reduction for Hierarchical Multi-Label Classification: A Systematic Mapping Study
Hierarchical multi-label classification problems typically deal with datasets with many attributes and labels, which can negatively impact the classifier performance. The application of dimensionality reduction methods can significantly improve the performance of classifiers. Dimensionality reductio...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Graz University of Technology
2024-01-01
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| Col·lecció: | Journal of Universal Computer Science |
| Matèries: | |
| Accés en línia: | https://lib.jucs.org/article/91309/download/pdf/ |
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