Combining instance selection and self-training to improve data stream quantification
Abstract In the last years, learning from data streams has attracted the attention of researchers and practitioners due to its large number of applications. These applications have motivated the research community to propose a significant amount of methods to solve problems in diverse tasks, more pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-10-01
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| Series: | Journal of the Brazilian Computer Society |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13173-018-0076-0 |