Typed Model Counting and Its Application to Probabilistic Conditional Reasoning at Maximum Entropy.
Marco WilhelmGabriele Kern-IsbernerPublished in: FLAIRS Conference (2017)
Keyphrases
- maximum entropy
- probabilistic logic
- model counting
- maximum entropy principle
- principle of maximum entropy
- probabilistic knowledge
- maximum entropy model
- default reasoning from conditional knowledge bases
- higher order
- conditional random fields
- weighted model counting
- probabilistic reasoning
- conditional probabilities
- knowledge compilation
- transformation based learning
- iterative scaling
- lexicographic entailment
- knowledge base
- information retrieval
- rationality postulates
- satisfiability testing
- polynomial size
- np complete
- probabilistic model