578 search results - page 46 / 116 » A Computational Intelligence Approach to Optimization with U... |
AMAI
2004
Springer
14 years 2 months ago
2004
Springer
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
ICVGIP
2004
13 years 10 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
AAAI
1998
13 years 10 months ago
1998
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...
AIPS
2006
13 years 10 months ago
2006
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...