Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

Tabular data poses unique challenges due to its heterogeneous nature, combining both continuous and categorical variables. Existing approaches often struggle to effectively capture the underlying structure and relationships within such data. We propose GFTab (Geodesic Flow Kernels for Semi- Supervis...

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Hauptverfasser:	Hwang, Yoontae, Lee, Yongjae
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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