1138 search results - page 85 / 228 » Feature Markov Decision Processes |
117
Voted
IAT
2005
IEEE
15 years 6 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
107
Voted
ISCC
2000
IEEE
15 years 5 months ago
2000
IEEE
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
98
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
109
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
2008
IEEE
— Adaptive modulation and antenna diversity are two important enabling techniques for future wireless network to meet demand for high data rate transmission. We study a Markov de...