Nonparametric Latent Variable Models via Kernel Embedding of Distributions
Published on Oct 06, 20142122 Views
The key idea of kernel embedding of distributions is to map distributions into the RKHS associated with a kernel function, such that subsequent manipulations of distributions can be achieved via RKH