AUTOMATIC FEATURE SUBSET SELECTION USING FEATURE RANKING AND SCALABLE AUTOMATIC SEARCH

The present invention relates to dimensionality reduction for machine learning (ML) models. Herein are techniques that individually rank features and combine features based on their rank to achieve an optimal combination of features that may accelerate training and/or inferencing, prevent overfittin...

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Bibliographic Details
Main Authors Karnagel, Tomas, Agarwal, Nipun, Idicula, Sam
Format Patent
LanguageEnglish
Published 16.04.2020
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