Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces.
Isao IshikawaAkinori TanakaMasahiro IkedaYoshinobu KawaharaPublished in: CoRR (2019)
Keyphrases
- dynamical systems
- vector valued
- reproducing kernel hilbert space
- metric learning
- distance measure
- loss function
- kernel methods
- euclidean space
- kernel function
- learning theory
- density estimation
- special case
- kernel matrix
- gaussian process
- metric space
- state space
- data dependent
- domain adaptation
- learning problems
- real valued
- scale space
- input space
- distance metric
- euclidean distance
- vector space
- distance function
- wavelet packet
- machine learning
- low rank
- probabilistic model
- principal component analysis
- dimensionality reduction
- multiscale