In-database batch and query-time inference over probabilistic graphical models using UDA-GIST.
Kun LiXiaofeng ZhouDaisy Zhe WangChristan Earl GrantAlin DobraChristopher DudleyPublished in: VLDB J. (2017)
Keyphrases
- probabilistic graphical models
- graphical models
- exact inference
- markov logic
- probabilistic inference
- markov networks
- query processing
- database systems
- markov logic networks
- parameter learning
- belief propagation
- probabilistic model
- bayesian networks
- approximate inference
- belief functions
- keywords
- machine learning
- conditional random fields
- semi supervised
- information retrieval