670 search results - page 110 / 134 » Modeling Uncertainty in Context-Aware Computing |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
ATAL
1997
Springer
14 years 18 days ago
1997
Springer
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
NIPS
2008
13 years 10 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
WSC
2004
13 years 9 months ago
2004
This paper presents a method for allocating production capacity among flexible and dedicated machines based on uncertain demand forecasts of products in a production portfolio. Gi...
ANOR
2006
13 years 8 months ago
2006
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...