Kernel Mean Embedding of Distributions: A Review and Beyond.
Krikamol MuandetKenji FukumizuBharath K. SriperumbudurBernhard SchölkopfPublished in: Found. Trends Mach. Learn. (2017)
Keyphrases
- laplacian eigenmaps
- graph embedding
- kernel function
- probability distribution
- kernel methods
- kernel regression
- vector space
- nonlinear dimensionality reduction
- reproducing kernel hilbert space
- random variables
- manifold learning
- information hiding
- latent space
- heavy tailed
- gaussian distribution
- support vector
- similarity measure
- embedding space
- density estimates
- neural network
- component analysis
- power law
- kernel matrix
- probability density
- literature review
- linear combination
- training set