Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models.
Shuo YangSriraam NatarajanPublished in: ECML/PKDD (2) (2013)
Keyphrases
- parameter learning
- knowledge intensive
- probabilistic model
- knowledge acquisition
- conditional random fields
- hidden variables
- structure learning
- generative model
- bayesian networks
- statistical learning
- graphical models
- expectation maximization
- learning algorithm
- probabilistic graphical models
- structured prediction
- causal independence
- conditional independence
- conditional probabilities
- model selection
- maximum likelihood