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About Hierarchical Multi-Label Classification For Large Scale Data
This document is a final report for a research project on hierarchical multi-label classification for large-scale data. The report details the objectives, methodology, and results of the research project. Specifically, it investigates support vector machine and deep learning techniques for hierarchical multi-label text classification of large datasets. It proposes techniques including top-level pruning, exclusive top-level training, label correction, and level-based neural networks with sharing layer information. The research outputs include publications in international and national journals and conferences as well as an open-source software.
Detailed Information
| Author: | ['Veethaya ptv'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 35 |
| Language: | English |
| Format: | |
| Price: | FREE |
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