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cs.LG2024
Semantic-Guided RL for Interpretable Feature Engineering
Mohamed Bouadi, Arta Alavi, Salima Benbernou +1
The quality of Machine Learning (ML) models strongly depends on the input data, as such generating high-quality features is often required to improve the predictive accuracy. This…
cs.LG2024
Leveraging Knowlegde Graphs for Interpretable Feature Generation
Mohamed Bouadi, Arta Alavi, Salima Benbernou +1
The quality of Machine Learning (ML) models strongly depends on the input data, as such Feature Engineering (FE) is often required in ML. In addition, with the proliferation of ML-…