Structure learning via non-parametric factorized joint likelihood function.
Muhammad NaeemSohail AsgharPublished in: J. Intell. Fuzzy Syst. (2014)
Keyphrases
- structure learning
- likelihood function
- gaussian process
- bayesian networks
- posterior probability
- maximum likelihood
- graphical models
- em algorithm
- parameter estimation
- markov networks
- model selection
- particle filter
- sample size
- regression model
- conditional independence
- expectation maximization
- hyperparameters
- maximum likelihood estimation
- generative model
- parameter space
- probability density function
- network structure
- probabilistic model
- transfer learning
- belief propagation
- bayesian framework
- closed form
- probability distribution
- learning algorithm
- semi supervised
- higher order
- latent variables
- machine learning
- mixture model