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Found 2 papers, 1 papers with code
Resource-aware Elastic Swap Random Forest for Evolving Data Streams
This paper presents Elastic Swap Random Forest ({\em ESRF}), a method for reducing the number of trees in the ARF ensemble while providing similar accuracy.
Data Stream Classification using Random Feature Functions and Novel Method Combinations
Big Data streams are being generated in a faster, bigger, and more commonplace.
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