A multi-instance multi-label improved algorithm based on semi-supervised learning
The multi-instance multi-label learning framework is a new machine learning framework for solving ambiguity problems. In the multi-instance multi-label learning framework, an object is represented by a set of examples and is associated with a set of category labels. The E-MIMLSVM+ algorithm is a cla...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2019-07-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000105868 |