Open-world learning under dataset shift
Conventional classification models in machine learning are imposed with strict constraints, limiting their implementation in real-world scenarios. Datasets encountered in the wild naturally contain instances of both known and unknown classes. Furthermore, at test time, the data is frequently drawn f...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/172053 |
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