Modeling Clinical Time Series Using Gaussian Process Sequences.
Milos HauskrechtZitao LiuLei WuPublished in: SDM (2013)
Keyphrases
- gaussian process
- bayesian modeling
- gaussian processes
- gaussian process models
- regression model
- dynamical models
- approximate inference
- gaussian process regression
- semi supervised
- model selection
- bayesian framework
- hyperparameters
- latent variables
- covariance function
- hidden markov models
- expectation propagation
- sparse approximations
- dynamical model
- dynamic bayesian networks
- non stationary
- bayesian networks
- training data
- data sets