Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning
Alexis Akira TodaPublished in: CoRR (2011)
Keyphrases
- bayesian inference
- maximum entropy
- plausible reasoning
- probabilistic model
- maximum entropy principle
- prior information
- belief revision
- random fields
- conditional random fields
- principle of maximum entropy
- hyperparameters
- probability theory
- higher order
- markov networks
- hidden variables
- minimum cross entropy
- belief change
- markov chain monte carlo
- iterative scaling
- particle filter
- propositional logic
- bayesian networks