Leveraging Model Inherent Variable Importance for Stable Online Feature Selection
Author:
Affiliation:
1. University of Tuebingen, Tuebingen, Germany
2. Schufa Holding AG, Wiesbaden, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403200
Reference38 articles.
1. Boosting decision stumps for dynamic feature selection on data streams
2. Efficient Online Evaluation of Big Data Stream Classifiers
3. Recent advances and emerging challenges of feature selection in the context of big data
4. 10.1162/153244302760200704
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