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ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
IESS
2007
Springer
14 years 1 months ago
2007
Springer
The stringent performance constraints and short time to market of modern digital systems require automatic methods for design of high performance applicationspecific architectures...
PODC
2006
ACM
14 years 1 months ago
2006
ACM
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
IJHPCA
2007
13 years 7 months ago
2007
A key characteristic of today’s high performance computing systems is a physically distributed memory, which makes the efficient management of locality essential for taking adv...
CISS
2008
IEEE
14 years 1 months ago
2008
IEEE
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...