337 search results - page 5 / 68 » An Anytime Algorithm for Decision Making under Uncertainty |
EOR
2010
13 years 7 months ago
2010
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
VISSYM
2007
13 years 10 months ago
2007
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible...
AAAI
2006
13 years 9 months ago
2006
Decision making under uncertainty is usually based on the comparative evaluation of different alternatives by means of a decision criterion. In a qualitative setting, pessimistic ...
ANOR
2004
13 years 7 months ago
2004
Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches de...