MCMC-driven importance samplers.
Fernando LlorenteE. CurbeloLuca MartinoVictor ElviraDavid DelgadoPublished in: CoRR (2021)
Keyphrases
- markov chain monte carlo
- bayesian inference
- markov chain
- monte carlo
- data driven
- parameter estimation
- generative model
- gibbs sampling
- real time
- relative importance
- posterior probability
- gibbs sampler
- dirichlet process
- sampling algorithm
- approximate inference
- random sampling
- visual tracking
- particle filter
- semi supervised
- evolutionary algorithm
- computer vision
- social networks
- learning algorithm
- information retrieval
- data sets