Feature-aware Label Space Dimension Reduction for Multi-labelClassification Problem
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 100 === Label space dimension reduction (LSDR) is an efficient and effective paradigm for multi-label classification with many classes. Existing approaches to LSDR, such as compressive sensing and principal label space transformation, ex- ploit only the label part of t...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/27753727246317898545 |