A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building.
Joon-Hong SeokSu-Jin LeeHan-Lim ChoiPublished in: DyDESS (2014)
Keyphrases
- gaussian process
- approximate inference
- expectation propagation
- gaussian processes
- bayesian framework
- hyperparameters
- regression model
- gaussian process regression
- markov chain monte carlo
- model selection
- posterior distribution
- gaussian process classification
- latent variables
- fully bayesian
- posterior probability
- semi supervised
- covariance function
- bayesian inference
- gaussian process models
- generative model
- markov chain
- support vector
- prior knowledge
- sparse approximations
- variational bayes
- machine learning
- sample size
- feature selection
- dirichlet process
- bayesian networks
- human pose estimation
- active learning