Kernel selection for power market inference via block successive upper bound minimization.
Vassilis KekatosYu ZhangGeorgios B. GiannakisPublished in: ICASSP (2014)
Keyphrases
- upper bound
- lower bound
- pre selected
- electricity markets
- branch and bound algorithm
- objective function
- probabilistic inference
- power consumption
- inference process
- kernel function
- support vector
- decision making
- worst case
- bayesian networks
- power generation
- image quality
- feature selection
- stock market
- kernel methods
- feature space
- bayesian inference
- generalization error
- lower and upper bounds