Our paper has been accepted to Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). This paper introduces the feature selection mechanism into Neural Additive Models and Neural Basis Models, which are interpretable machine learning models, and enables them to apply high-dimensional datasets.
- Yasutoshi Kishimoto, Kota Yamanishi, Takuya Matsuda, and Shinichi Shirakawa: Neural Additive and Basis Models with Feature Selection and Interactions, 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), Taipei, Taiwan, May 7–10, 2024. [DOI]