220 search results - page 19 / 44 » Learning probabilistic decision graphs |
RECOMB
2005
Springer
14 years 7 months ago
2005
Springer
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
AAAI
2000
13 years 9 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
NIPS
2008
13 years 9 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...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
UM
2005
Springer
14 years 1 months ago
2005
Springer
Inference and decision making with probabilistic user models may be infeasible on portable devices such as cell phones. We highlight the opportunity for storing and using precomput...