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cs.LG2026
FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction
Zijie Zhao, Roy E. Welsch
Tabular applications often require inspectable prediction rules and stable behavior when records are incomplete. We propose FlagGAM, a rule-basis framework that separates feature-l…
cs.LG2025
Understanding Knowledge Transferability for Transfer Learning: A Survey
Haohua Wang, Jingge Wang, Zijie Zhao +9
Transfer learning has become an essential paradigm in artificial intelligence, enabling the transfer of knowledge from a source task to improve performance on a target task. This a…