Modeling Delay Discounting using Gaussian Process with Active Learning.
Jorge ChangJiseob KimByoung-Tak ZhangMark A. PittJay I. MyungPublished in: CogSci (2019)
Keyphrases
- gaussian process
- active learning
- gaussian processes
- bayesian modeling
- semi supervised
- gaussian process models
- hyperparameters
- gaussian process regression
- random sampling
- regression model
- dynamical models
- model selection
- bayesian framework
- latent variables
- approximate inference
- dynamical model
- supervised learning
- gaussian process classification
- marginal likelihood
- covariance function
- probability distribution
- sparse approximations
- noise level
- expectation propagation
- decision trees
- maximum likelihood
- denoising
- upper bound
- prior knowledge
- learning process
- support vector