Discrete Exponential Bayesian Networks Structure Learning for Density Estimation.
Aida JarrayaPhilippe LerayAfif MasmoudiPublished in: ICIC (3) (2012)
Keyphrases
- structure learning
- density estimation
- bayesian networks
- continuous variables
- graphical models
- mixture model
- conditional independence
- bayesian network classifiers
- parameter learning
- density function
- probabilistic model
- probability density function
- gaussian mixture model
- em algorithm
- transfer learning
- markov networks
- expectation maximization
- parameter estimation
- network structure
- conditional probabilities
- posterior probability
- structure learning algorithm
- outlier detection
- probability distribution
- hidden variables
- maximum likelihood estimation
- naive bayes
- belief propagation
- random variables
- distance function
- higher order
- image processing
- data mining