Generative models and Bayesian inversion using Laplace approximation.
Manuel MarschallGerd WübbelerFranko SchmählingClemens ElsterPublished in: CoRR (2022)
Keyphrases
- generative model
- posterior probability
- expectation propagation
- probabilistic model
- bayesian inference
- bayesian framework
- em algorithm
- mixture model
- approximate inference
- maximum likelihood
- discriminative models
- discriminative learning
- prior knowledge
- conditional random fields
- bayesian networks
- posterior distribution
- hierarchical hidden markov models
- graphical models
- expectation maximization
- gaussian process
- maximum entropy principle
- topic models
- maximum entropy
- object categories
- latent dirichlet allocation
- object recognition
- generative and discriminative models
- belief propagation
- hidden variables
- semi supervised
- image segmentation
- discriminative methods
- computer vision