Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning.
Niccolò MeneghettiOliver KennedyWolfgang GatterbauerPublished in: SIGMOD Conference (2017)
Keyphrases
- parameter learning
- probabilistic databases
- probabilistic graphical models
- bayesian networks
- structure learning
- probabilistic inference
- statistical learning
- generative model
- conditional random fields
- uncertain data
- query evaluation
- em algorithm
- approximate inference
- maximum likelihood
- graphical models
- bayesian belief networks
- markov random field
- parameter estimation
- hidden variables
- expectation maximization
- learning algorithm
- conditional independence
- information extraction
- sample size
- model selection
- text classification
- higher order
- probabilistic model
- active learning
- knowledge discovery