Kernel absolute summability is only sufficient for RKHS stability

Preprint English OPEN
Bisiacco, Mauro; Pillonetto, Gianluigi;
  • Subject: Computer Science - Machine Learning | Statistics - Machine Learning

Regularized approaches have been successfully applied to linear system identification in recent years. Many of them model unknown impulse responses exploiting the so called Reproducing Kernel Hilbert spaces (RKHSs) that enjoy the notable property of being in one-to-one ... View more
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