1277 search results - page 196 / 256 » Terminating Decision Algorithms Optimally |
143
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
136
Voted
ICSE
2005
IEEE-ACM
16 years 3 months ago
2005
IEEE-ACM
Greedy algorithms for the construction of software interaction test suites are studied. A framework is developed to evaluate a large class of greedy methods that build suites one ...
132
Voted
EOR
2007
15 years 3 months ago
2007
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...
135
Voted
LCN
2006
IEEE
15 years 9 months ago
2006
IEEE
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
151
Voted
ERCIMDL
2000
Springer
15 years 7 months ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...