Structure Learning in Human Sequential Decision-Making.
Daniel E. AcuñaPaul R. SchraterPublished in: PLoS Comput. Biol. (2010)
Keyphrases
- structure learning
- sequential decision making
- graphical models
- bayesian networks
- influence diagrams
- transfer learning
- reinforcement learning
- decision problems
- parameter estimation
- conditional independence
- markov logic networks
- belief propagation
- markov networks
- sample size
- probabilistic model
- least squares
- machine learning
- random variables
- knn
- probability distribution
- active learning
- decision trees
- learning algorithm