Manifold Gaussian Processes for Regression.
Roberto CalandraJan PetersCarl Edward RasmussenMarc Peter DeisenrothPublished in: CoRR (2014)
Keyphrases
- gaussian processes
- gaussian process
- covariance function
- gaussian process regression
- relevance vector machine
- ordinal regression
- multi task learning
- low dimensional
- human pose estimation
- multi task
- parameter space
- regression model
- feature space
- high dimensional
- hyperparameters
- semi supervised
- preference learning
- feature selection
- model selection
- probabilistic model
- bayesian networks