A Deep Model with Local Surrogate Loss for General Cost-sensitive Multi-label Learning
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Multi-label learning is an important machine learning problem with a wide range of applications. The variety of criteria for satisfying different application needs calls for cost-sensitive algorithms, which can adapt to different criteria easily. Nevertheless,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/vu3a92 |