Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors.
Mijung ParkJ. Patrick WellerGregory D. HorwitzJonathan W. PillowPublished in: Neural Comput. (2014)
Keyphrases
- gaussian process
- gaussian processes
- active learning
- bayesian framework
- semi supervised
- hyperparameters
- posterior distribution
- prior distribution
- marginal likelihood
- posterior probability
- random sampling
- dynamical models
- gaussian process regression
- expectation propagation
- variational inference
- fully bayesian
- bayesian methods
- dirichlet process
- approximate inference
- prior knowledge
- gaussian process classification
- covariance function
- model selection
- regression model
- bayesian inference
- latent variables
- sparse approximations
- maximum likelihood
- generative model
- maximum a posteriori
- dynamical model
- bayesian networks
- gaussian process models
- supervised learning
- prior information
- machine learning
- learning process
- text mining
- probabilistic model
- sparse approximation
- markov chain monte carlo
- transfer learning