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Kernel embedding of distributions

In machine learning, the kernel embedding of distributions (also called the kernel mean or mean map) comprises a class of nonparametric methods in… 
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Related topics

Related topics

32 relations
Basis functionBelief propagationBernhard SchölkopfBregman divergence

Broader (1)

Machine learning

Papers overview

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2016
2016
Mixture Proportion Estimation via Kernel Embedding of Distributions Mixture Proportion Estimation via Kernel Embeddings of Distributions
  • 2016
  • Corpus ID: 265095142
Mixture Proportion Estimation via Kernel Embeddings of Distributions Supplementary Material A. Proof of Propositions 1, 2, 3 and… 
2014
2014
Scalable Kernel Embedding of Latent Variable Models
Kernel embedding of distributions maps distributions to the reproducing kernel Hilbert space (RKHS) of a kernel function, such… 
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