Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference.
Ankit ChiplunkarEmmanuel RachelsonMichele ColomboJoseph MorlierPublished in: ICPRAM (2016)
Keyphrases
- gaussian process
- variational inference
- covariance function
- gaussian processes
- sparse approximations
- regression model
- gaussian process regression
- model selection
- bayesian nonparametric
- bayesian framework
- hyperparameters
- approximate inference
- latent variables
- semi supervised
- posterior distribution
- closed form
- cross validation
- random sampling
- incremental learning
- factor graphs
- maximum a posteriori
- co occurrence