Slice sampling covariance hyperparameters of latent Gaussian models.
Iain MurrayRyan Prescott AdamsPublished in: NIPS (2010)
Keyphrases
- hyperparameters
- gaussian model
- random sampling
- sample size
- em algorithm
- expectation maximization
- model selection
- gaussian process
- closed form
- parameter space
- bayesian framework
- cross validation
- bayesian inference
- active learning
- maximum likelihood
- gaussian distribution
- gaussian mixture model
- noise level
- prior information
- conditional independence
- mixture model
- incremental learning
- latent variables
- image intensity
- support vector
- maximum a posteriori
- skin color
- sequential monte carlo methods
- probabilistic model
- incomplete data
- background subtraction
- markov random field
- feature vectors