Gaussian Processes for High-Dimensional, Large Data Sets: A Review.
Mengrui JiangGiulia PedrielliSzu Hui NgPublished in: WSC (2022)
Keyphrases
- gaussian processes
- high dimensional
- gaussian process
- gaussian process regression
- low dimensional
- covariance function
- multi task learning
- data sets
- gaussian process models
- parameter space
- human pose estimation
- hyperparameters
- multi task
- high dimensional data
- dimensionality reduction
- data points
- preference learning
- nearest neighbor
- feature space
- upper bound
- similarity measure