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20152021
most citedFeature space approximation for kernel-based supervised learning

7 citations · 8 across the 3 of their papers we have counts for

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math.FA2018

Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces

Mattes Mollenhauer, Ingmar Schuster, Stefan Klus +1

Reproducing kernel Hilbert spaces (RKHSs) play an important role in many statistics and machine learning applications ranging from support vector machines to Gaussian processes and…