Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation.
Alessandro Di MartinoErik BodinCarl Henrik EkNeill D. F. CampbellPublished in: CoRR (2018)
Keyphrases
- generative model
- gaussian process
- deep belief networks
- bayesian framework
- semi supervised
- probabilistic model
- approximate inference
- hyperparameters
- latent variables
- posterior probability
- sparse coding
- em algorithm
- prior knowledge
- topic models
- regression model
- conditional random fields
- bayesian inference
- model selection
- posterior distribution
- unsupervised learning
- conditional probabilities
- computer vision
- markov chain monte carlo
- prior information
- sample size
- graphical models
- active learning
- learning process
- pairwise
- machine learning