Incremental Learning of Bayesian Networks with Hidden Variables.
Fengzhan TianHongwei ZhangYuchang LuChunyi ShiPublished in: ICDM (2001)
Keyphrases
- incremental learning
- hidden variables
- bayesian networks
- probabilistic model
- markov networks
- generative model
- incremental learning algorithm
- latent variables
- incomplete data
- models with hidden variables
- graphical models
- em algorithm
- observable variables
- conditional independence
- chain graphs
- bayesian inference
- posterior probability
- learning process
- conditional probabilities
- fuzzy artmap
- missing values
- parameter learning
- random variables
- supervised learning
- semi supervised
- observed variables
- neural network
- hyperparameters
- posterior distribution
- similarity measure
- support vector
- active learning
- continuous variables
- structure learning
- probability distribution
- network structure