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Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory
Supervised learning is an important branch of machine learning (ML), which requires a complete annotation (labeling) of the involved training data. This assumption, which may constitute a severe bottleneck in the practical use of ML, is relaxed in weakly supervised learning. In this ML paradigm, tra...
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| Vydáno v: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274316/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50146-4_35 |
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