Property-Based Testing for Parameter Learning of Probabilistic Graphical Models.
Anna SarantiBehnam TaraghiMartin EbnerAndreas HolzingerPublished in: CD-MAKE (2020)
Keyphrases
- probabilistic graphical models
- parameter learning
- bayesian networks
- structure learning
- statistical learning
- generative model
- conditional random fields
- maximum likelihood
- graphical models
- em algorithm
- approximate inference
- parameter estimation
- expectation maximization
- markov random field
- markov networks
- belief propagation
- hidden variables
- information extraction