Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes.
Schyler C. SunWeisi GuoPublished in: VTC Spring (2021)
Keyphrases
- gaussian processes
- extreme values
- gaussian process
- gaussian process regression
- covariance function
- human pose estimation
- hyperparameters
- gaussian process models
- lead time
- feature vectors
- bayesian framework
- probabilistic model
- support vector regression
- approximate inference
- kernel methods
- preference learning
- learning algorithm