Large-Scale Learning

RFFNet: large-scale interpretable kernel methods via random Fourier Features
Kernel methods provide a flexible and theoretically grounded approach to nonlinear and nonparametric learning. While memory and …
Mateus Piovezan Otto, Rafael Izbicki
November, 2026 Computational Statistics, 41(7), 144
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