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REFINE: Enhanced Reinforced Feature Generation via Semantic-Guided Exploration

2025-04-15

Abstract excerpt

<title>Abstract</title> <p>The quality of machine learning models strongly depends on the quality of the input data, making feature engineering a crucial step in the machine learning pipeline. Traditional feature engineering often requires extensive domain expertise and manual effort, which can be time-consuming and challenging to scale. Furthermore, with the proliferation of ML-powered systems, especially in cri...

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Literature Corpus work
ec35ae4c-0647-542c-95df-476160493405
DOI
10.21203/rs.3.rs-6234787/v1
Open publication

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REFINE: Enhanced Reinforced Feature Generation via Semantic-Guided ExplorationDOI 10.21203/rs.3.rs-6234787/v1
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