53 search results - page 7 / 11 » Approximating the Stochastic Knapsack Problem: The Benefit o... |
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
NIPS
1996
13 years 10 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
ISCAS
2005
IEEE
14 years 2 months ago
2005
IEEE
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
ECRTS
2008
IEEE
13 years 10 months ago
2008
IEEE
Modern real-time systems must be designed to be highly adaptable, reacting to aperiodic events in a predictable manner and exhibiting graceful degradation in overload scenarios wh...