Latent Gaussian process with composite likelihoods for data-driven disease stratification.
Siddharth RamchandranMiika KoskinenHarri LähdesmäkiPublished in: CoRR (2019)
Keyphrases
- gaussian process
- data driven
- latent variables
- likelihood function
- latent space
- random variables
- gaussian processes
- latent variable models
- approximate inference
- gaussian process classification
- gaussian process regression
- regression model
- dynamical model
- probabilistic model
- semi supervised
- bayesian framework
- expectation propagation
- sparse approximations
- topic models
- prior knowledge
- model selection
- covariance function
- gaussian process models
- hyperparameters
- graphical models
- co occurrence
- probability distribution
- pairwise
- cross validation
- marginal likelihood
- data sets