MrPC: Causal Structure Learning in Distributed Systems.
Thin NguyenDuc Thanh NguyenThuc Duy LeSvetha VenkateshPublished in: ICONIP (4) (2020)
Keyphrases
- distributed systems
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- causal models
- parameter learning
- bayesian network structure learning
- causal relationships
- fault tolerant
- conditional independence tests
- markov logic networks
- distributed environment
- bayesian network classifiers
- transfer learning
- geographically distributed
- causal discovery
- message passing
- distributed database systems
- parameter estimation
- data replication
- sample size
- random variables
- causal reasoning
- mobile agents
- deadlock detection
- directed acyclic graph
- posterior probability
- belief propagation
- network structure
- probability distribution
- probabilistic reasoning
- maximum likelihood estimation
- artificial intelligence
- conditional probabilities
- markov networks
- causal graph
- text categorization
- training data