Adaptive kernel smoothing regression for spatio-temporal environmental datasets.
Federico Montesino-PouzolsAmaury LendassePublished in: Neurocomputing (2012)
Keyphrases
- spatio temporal
- spatio temporal data
- spatio temporal patterns
- kernel ridge regression
- nonparametric regression
- reproducing kernel hilbert space
- kernel regression
- sparse kernel
- support vector
- regression model
- gaussian processes
- spatial and temporal
- gaussian process regression
- kernel methods
- linear regression
- image sequences
- partial least squares
- regression method
- classification and regression problems
- benchmark datasets
- mercer kernels
- simple linear
- machine learning
- regression problems
- synthetic datasets
- language model
- principal component regression