Fully Scalable Gaussian Processes using Subspace Inducing Inputs.
Aristeidis PanosPetros DellaportasMichalis K. TitsiasPublished in: CoRR (2018)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- covariance function
- input data
- human pose estimation
- multi task learning
- principal component analysis
- gaussian process models
- preference learning
- low dimensional
- multi task
- high dimensional data
- feature space
- bayesian framework
- active learning
- prior knowledge
- high dimensional