4 search results - page 1 / 1 » A Hierarchical Bayesian Model of Human Decision-Making on an... |
COGSCI
2006
13 years 5 months ago
2006
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
NIPS
2008
13 years 6 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
NIPS
2008
13 years 6 months ago
2008
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...