125 search results - page 21 / 25 » The Stochastic Machine Replenishment Problem |
ML
2006
ACM
13 years 9 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
EGC
2005
Springer
14 years 3 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
SDM
2011
SIAM
13 years 19 days ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
AAAI
2000
13 years 11 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
NN
1998
Springer
13 years 9 months ago
1998
Springer
The selection and control of action is a critical problem for both biological and machine animated systems that must operate in complex real world situations. Visually guided eye ...