Sequential inference of Markov networks by dynamic programming for structural pattern recognition.
Michael G. ThomasonErik GranumPublished in: Pattern Recognit. Lett. (1987)
Keyphrases
- markov networks
- structural pattern recognition
- dynamic programming
- markov logic
- structured prediction
- bayesian inference
- markov logic networks
- graphical models
- collective classification
- bayesian networks
- pattern recognition
- pseudo likelihood
- maximum likelihood
- statistical relational learning
- probabilistic graphical models
- belief propagation
- probabilistic inference
- relational dependency networks
- first order logic
- exact inference
- maximum margin
- statistical pattern recognition
- hidden variables
- probabilistic model
- posterior probability
- conditional random fields
- entity resolution
- structure learning
- markov random field
- state space
- document classification
- relational data
- stereo matching
- belief networks
- prior information
- conditional probabilities
- random variables
- inductive logic programming
- approximate inference
- neural network
- prior knowledge
- reinforcement learning
- knowledge base