Machine Learning Methods with Noisy, Incomplete or Small Datasets
In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, i...
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| HerausgeberIn: | |
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| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (316 p.) |
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