Characteristic Kernels on Groups and Semigroups

NeurIPS 2008 Kenji FukumizuArthur GrettonBernhard SchölkopfBharath K. Sriperumbudur

Embeddings of random variables in reproducing kernel Hilbert spaces (RKHSs) may be used to conduct statistical inference based on higher order moments. For sufficiently rich (characteristic) RKHSs, each probability distribution has a unique embedding, allowing all statistical properties of the distribution to be taken into consideration... (read more)

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