Towards Distributed MCMC Inference in Probabilistic Knowledge Bases.
Mathias NiepertChristian MeilickeHeiner StuckenschmidtPublished in: AKBC-WEKEX@NAACL-HLT (2012)
Keyphrases
- knowledge base
- markov chain monte carlo
- bayesian networks
- generative model
- inference process
- bayesian inference
- posterior probability
- probabilistic reasoning
- inference engine
- belief networks
- probabilistic networks
- probabilistic model
- distributed environment
- distributed systems
- logical inference
- cooperative
- peer to peer
- probabilistic inference
- description logics
- approximate inference
- gibbs sampling
- knowledge acquisition
- variational bayes
- knowledge representation languages
- graphical models
- uncertain data
- markov logic
- least squares
- expert systems
- bayes nets
- multi agent