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IAT
2007
IEEE
16 years 24 days ago
Noise Tolerance in Reinforcement Learning Algorithms
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
ICCS
2007
Springer
16 years 19 days ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva
GLOBECOM
2006
IEEE
16 years 16 days ago
A Game-Theoretic Framework for Interference Avoidance in Ad hoc Networks
It is shown in this paper that direct extensions of distributed greedy Interference Avoidance (IA) techniques for networks with centralized receivers to networks with multiple unc...
Rekha Menon, Allen B. MacKenzie, R. Michael Buehre...
ICIP
2006
IEEE
16 years 16 days ago
Fast Iterative Adaptive Reconstruction in Low-Dose CT Imaging
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
Lin Cheng, Yunqiang Chen, Tong Fang, Jason Tyan
ASPDAC
2006
ACM
130views Hardware» more  ASPDAC 2006»
16 years 14 days ago
Convergence-provable statistical timing analysis with level-sensitive latches and feedback loops
Statistical timing analysis has been widely applied to predict the timing yield of VLSI circuits when process variations become significant. Existing statistical latch timing met...
Lizheng Zhang, Jeng-Liang Tsai, Weijen Chen, Yuhen...