Gaussian-Process-Based Dynamic Embedding for Textual Networks.
Pengyu ChengYitong LiXinyuan ZhangLiqun ChengDavid E. CarlsonLawrence CarinPublished in: CoRR (2019)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- latent space
- bayesian framework
- model selection
- gaussian process classification
- approximate inference
- semi supervised
- latent variables
- sparse approximations
- hyperparameters
- expectation propagation
- gaussian process models
- dynamical model
- covariance function
- closed form
- error rate
- text mining
- bayesian networks
- marginal likelihood
- image segmentation