Corpus ID: 88517313

Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces

@inproceedings{Mollenhauer2018SingularVD,
  title={Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces},
  author={Mattes Mollenhauer and Ingmar Schuster and Stefan Klus and Christof Schutte},
  year={2018}
}
  • Mattes Mollenhauer, Ingmar Schuster, +1 author Christof Schutte
  • Published 2018
  • Mathematics
  • 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 kernel embeddings of distributions. Operators acting on such spaces are, for instance, required to embed conditional probability distributions in order to implement the kernel Bayes rule and build sequential data models. It was recently shown that transfer operators such as the Perron-Frobenius or Koopman operator… CONTINUE READING

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