403 search results - page 18 / 81 » Sampling Bounds for Stochastic Optimization |
COLT
2010
Springer
13 years 7 months ago
2010
Springer
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
WINE
2005
Springer
14 years 3 months ago
2005
Springer
We give a simple analysis of the competitive ratio of the random sampling auction from [10]. The random sampling auction was first shown to be worst-case competitive in [9] (with ...
TSP
2011
13 years 4 months ago
2011
—Modern passive emitter-location systems are often based on joint estimation of the time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) of an unknown sig...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
While using more biometric traits in multimodal biometric fusion can effectively increase the system robustness, often, the cost associated to adding additional systems is not con...
CDC
2010
IEEE
13 years 4 months ago
2010
IEEE
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...