AI RESEARCH
Cluster-Based Generalized Additive Models Informed by Random Fourier Features
arXiv CS.LG
•
ArXi:2512.19373v3 Announce Type: replace-cross In developing data-driven modeling methodologies, there is an ongoing need to reconcile the strong predictive performance of opaque black-box models with the transparency required for critical applications. This work