Gaussian and student-t filtering using implicit measurements via variational bayes.
Ernesto TapiaPublished in: MLSP (2014)
Keyphrases
- variational bayes
- gaussian mixture model
- expectation propagation
- bayesian inference
- latent variables
- hyperparameters
- free energy
- maximum likelihood
- posterior distribution
- bayesian learning
- learning environment
- latent dirichlet allocation
- exponential family
- em algorithm
- mixture model
- expectation maximization
- model selection
- learning process
- density estimation
- feature vectors
- hidden variables
- maximum a posteriori
- gaussian distribution
- closed form
- probability distribution
- probabilistic model
- approximate inference
- cross validation
- least squares
- support vector