An efficient EM algorithm for two-layer mixture model of gaussian process functional regressions.
Di WuYurong XieZhe QiangPublished in: Pattern Recognit. (2023)
Keyphrases
- em algorithm
- gaussian process
- mixture model
- hyperparameters
- expectation maximization
- gaussian processes
- model selection
- maximum likelihood
- gaussian mixture model
- bayesian framework
- likelihood function
- generative model
- posterior distribution
- variational bayes
- density estimation
- parameter estimation
- regression model
- incomplete data
- maximum likelihood estimation
- variational inference
- gaussian mixture
- approximate inference
- probability density function
- maximum a posteriori
- probabilistic model
- finite mixture model
- semi supervised
- mixture modeling
- latent variables
- mixture of gaussians
- log likelihood
- model based clustering
- probabilistic mixture model
- unsupervised learning
- graphical models
- training data