Structure Learning in Bayesian Sensorimotor Integration.
Tim GeneweinEduard HezZeynab RazzaghpanahDaniel A. BraunPublished in: PLoS Comput. Biol. (2015)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- parameter estimation
- bayesian network structures
- transfer learning
- markov logic networks
- posterior probability
- bayesian network structure learning
- bayesian network classifiers
- probability distribution
- structure learning algorithm
- maximum likelihood
- markov blanket
- probabilistic model
- naive bayes
- probabilistic reasoning
- network structure
- bayesian inference
- directed acyclic graph
- maximum likelihood estimation
- reinforcement learning
- sample size
- hidden markov models
- least squares
- markov random field
- markov networks
- belief propagation