A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem.
Michael D. LeePublished in: Cogn. Sci. (2006)
Keyphrases
- human decision making
- optimal stopping
- hierarchical bayesian model
- hierarchical bayesian
- generative model
- decision making
- finite horizon
- brownian motion
- chance discovery
- topic models
- transfer learning
- latent dirichlet allocation
- quantum mechanics
- approximate inference
- optimal policy
- differential equations
- bayesian networks
- optimal control
- bayesian inference
- human cognition
- latent variables
- emotional state
- data mining
- conditional random fields
- information extraction
- probabilistic model
- active learning
- prior knowledge
- high dimensional
- reinforcement learning
- information retrieval
- machine learning