Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset.
Christian SoizeRoger G. GhanemChristophe DesceliersPublished in: Stat. Comput. (2020)
Keyphrases
- learning process
- reinforcement learning
- online learning
- supervised learning
- posterior probability
- latent variable models
- learning systems
- prior knowledge
- bayesian networks
- maximum likelihood
- generative model
- independent component analysis
- learning algorithm
- bayesian learning
- data sets
- probabilistic model
- small number
- high dimensional
- benchmark datasets
- posterior distribution