Reproducing Kernel Hilbert Space

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A Reproducing Kernel Hilbert Space is a Hilbert space of function spaces (in which pointwise evaluation is a bounded operator).



References

2014

2009

  • (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
    • Recently, Gretton et al. [5] introduced the Maximum Mean Discrepancy (MMD) for comparing distributions based on the Reproducing Kernel Hilbert Space (RKHS) distance. ... Therefore, the distance between two distributions of two samples is simply the distance between the two mean elements in the RKHS.

2004