3240 search results - page 51 / 648 » Pre-aggregation with probability distributions |
FLAIRS
2006
13 years 10 months ago
2006
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
FLAIRS
2004
13 years 10 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
EUSFLAT
2007
13 years 10 months ago
2007
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
ISIPTA
1999
IEEE
14 years 1 months ago
1999
IEEE
Bayesian advocates of expected utility maximization use sets of probability distributions to represent very different ideas. Strict Bayesians insist that probability judgment is n...