Learning conditional independence structure for high-dimensional uncorrelated vector processes.
Nguyen Tran QuangAlexander JungPublished in: CoRR (2016)
Keyphrases
- conditional independence
- high dimensional
- structure and parameter learning
- bayes net
- bayesian network structure
- bayesian networks
- random variables
- conditional independence tests
- structure learning algorithm
- bayes nets
- inductive learning
- machine learning
- graphical models
- prior knowledge
- social networks
- learning algorithm
- markov chain
- structure learning
- supervised learning
- reinforcement learning