Semi-Supervised Multi-Label Classification
碩士 === 國立屏東大學 === 資訊管理學系碩士班 === 103 === To obtain labeled data for a specific learning problem is usually expensive. It requires long term data collection and/or a large amount of human labor. Many researches in data mining have found that using a small amount of labeled data in conjunction with unl...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/05633484483979571336 |