Estimation of Minimum Measure Sets in Reproducing Kernel Hilbert Spaces and Applications.
Manuel DavyFrédéric DesobryStéphane CanuPublished in: ICASSP (3) (2006)
Keyphrases
- reproducing kernel hilbert space
- distance measure
- density estimation
- reproducing kernel
- kernel methods
- uniform convergence
- gaussian kernels
- learning theory
- loss function
- similarity measure
- special case
- covering numbers
- kernel function
- gaussian process
- representer theorem
- kullback leibler divergence
- data dependent
- euclidean space
- hilbert space
- domain adaptation
- supervised learning
- reinforcement learning