Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models.
Charles W. L. GaddSara WadeAkeel A. ShahDimitris GrammatopoulosPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- gaussian process latent variable models
- probabilistic model
- hyperparameters
- prior information
- learning algorithm
- probability distribution
- supervised learning
- semi supervised
- particle filter
- feature selection
- unsupervised learning
- graphical models
- generative model
- latent space
- expectation propagation
- machine learning
- sample size
- latent variables
- support vector