Sciweavers

1689 search results - page 34 / 338
» Approximate zero-variance simulation
Sort
View
ICML
1995
IEEE
15 years 10 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
ICCAD
2001
IEEE
107views Hardware» more  ICCAD 2001»
15 years 6 months ago
A Convex Programming Approach to Positive Real Rational Approximation
As system integration evolves and tighter design constraints must be met, it becomes necessary to account for the non-ideal behavior of all the elements in a system. Certain devic...
Carlos P. Coelho, Joel R. Phillips, Luis Miguel Si...
LCN
2005
IEEE
15 years 3 months ago
Approximate Coverage in Wireless Sensor Networks
— Recent advances in microelectronic technology have made it possible to construct compact and inexpensive wireless sensors. Sensor networks have received significant attention ...
Yuzhen Liu, Weifa Liang
ICASSP
2011
IEEE
14 years 1 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
CORR
2010
Springer
111views Education» more  CORR 2010»
14 years 9 months ago
Submodular Maximization by Simulated Annealing
We consider the problem of maximizing a nonnegative (possibly non-monotone) submodular set function with or without constraints. Feige et al. [9] showed a 2/5-approximation for th...
Shayan Oveis Gharan, Jan Vondrák