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- W143312773 abstract "In this work we consider the problem of feature selection in the context of conformal prediction. Unlike many conventional machine learning methods, conformal prediction allows to supply individual predictions with valid measure of confidence. The main idea is to use confidence measures as an indicator of usefulness of different features: we check how many features are enough to reach desirable average level of confidence. The method has been applied to abdominal pain data set. The results are discussed." @default.
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- W143312773 date "2011-01-01" @default.
- W143312773 modified "2023-10-09" @default.
- W143312773 title "Feature Selection by Conformal Predictor" @default.
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- W143312773 doi "https://doi.org/10.1007/978-3-642-23960-1_51" @default.
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