Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data.
Nicolò BotteghiMengwu GuoChristoph BrunePublished in: CoRR (2022)
Keyphrases
- noisy data
- kernel learning
- high dimensional
- kernel function
- dimensionality reduction
- kernel matrix
- high dimensionality
- low dimensional
- kernel methods
- semi supervised
- feature space
- gaussian process
- similarity search
- learning tasks
- high dimensional data
- training data
- dynamical systems
- missing data
- data points
- missing values
- distance metric
- image processing
- support vector