Learning conditional independence structure for high-dimensional uncorrelated vector processes.
Nguyen Tran QuangAlexander JungPublished in: ICASSP (2017)
Keyphrases
- conditional independence
- high dimensional
- bayesian network structure
- structure and parameter learning
- learning algorithm
- active learning
- conditional independence tests
- bayes nets
- bayes net
- hidden variables
- prior knowledge
- bayesian networks
- graphical models
- markov chain
- supervised learning
- markov networks
- probability distribution
- efficient learning
- learning bayesian networks
- markov blanket
- feature space
- reinforcement learning
- conditional dependencies
- feature selection