Rolling Forecasting Forward by Boosting Heterogeneous Kernels.
Di ZhangYunquan ZhangQiang NiuXingbao QiuPublished in: PAKDD (1) (2018)
Keyphrases
- short term
- feature selection
- support vector
- decision stumps
- kernel function
- ensemble learning
- weighted sums
- kernel methods
- kernel ridge regression
- kernel machines
- adaboost algorithm
- heterogeneous networks
- linear combination
- feature space
- kernel learning
- bi directional
- combining multiple
- learning algorithm
- support vector regression
- ensemble methods
- mathematical model
- boosting algorithms
- multiple kernel
- prediction model