Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems.
Matthias BitzerMona MeisterChristoph ZimmerPublished in: CoRR (2023)
Keyphrases
- non stationary
- hyperplane
- learning process
- learning algorithm
- gaussian processes
- learning tasks
- feature space
- active learning
- support vector
- gaussian process
- machine learning
- pairwise
- high dimensional
- reinforcement learning
- data points
- support vector machine
- training data
- kernel function
- similarity measure
- learning problems
- incremental learning
- feature extraction