Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers
The existing noise detection methods required the classifiers or distance measurements or data overall distribution, and `curse of dimensionality' and other restrictions made them insufficiently effective in complex data, e.g., different attribute weights, high-dimensionality, containing featur...
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Veröffentlicht in: | IEEE transactions on knowledge and data engineering 2019-11, Vol.31 (11), p.2063-2078 |
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