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Autor:
Thielmann, Anton Frederik, Kumar, Manish, Weisser, Christoph, Reuter, Arik, Säfken, Benjamin, Samiee, Soheila
The analysis of tabular data has traditionally been dominated by gradient-boosted decision trees (GBDTs), known for their proficiency with mixed categorical and numerical features. However, recent deep learning innovations are challenging this domina
Externí odkaz:
http://arxiv.org/abs/2408.06291
