Kernel Mode Decomposition and programmable/interpretable regression networks.
Houman OwhadiClint ScovelGene Ryan YooPublished in: CoRR (2019)
Keyphrases
- support vector
- kernel ridge regression
- kernel regression
- kernel function
- gaussian processes
- reproducing kernel hilbert space
- classification and regression problems
- sparse kernel
- kernel methods
- computer networks
- regression method
- social networks
- regression model
- gaussian process regression
- kernel partial least squares
- decomposition method
- heterogeneous networks
- feature space
- partial least squares
- regression function
- kernel space
- gradient boosting
- support vector regression
- high dimensional
- convolution kernel
- mercer kernels
- digital signal processors
- principal component regression
- machine learning