Kernel Mean Embedding of Distributions: A Review and Beyonds.
Krikamol MuandetKenji FukumizuBharath K. SriperumbudurBernhard SchölkopfPublished in: CoRR (2016)
Keyphrases
- probability distribution
- graph embedding
- laplacian eigenmaps
- kernel function
- feature space
- convolution kernel
- kernel machines
- kernel matrix
- latent space
- vector space
- support vector
- random variables
- kernel methods
- kernel pca
- kernel learning
- reproducing kernel hilbert space
- gaussian processes
- multiple kernel learning
- neural network
- kernel density estimation
- literature review
- feature vectors
- information hiding
- kernel regression
- pairwise
- learning algorithm