133 search results - page 19 / 27 » Decision making under uncertainty using imprecise probabilit... |
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
Bayesian games can be used to model single-shot decision problems in which agents only possess incomplete information about other agents, and hence are important for multiagent co...
IJCAI
2001
14 years 10 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
APPROX
2005
Springer
15 years 3 months ago
2005
Springer
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
JIRS
2000
14 years 9 months ago
2000
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
ICDT
2010
ACM
15 years 6 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...