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181
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GECCO
2011
Springer
14 years 4 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
CDC
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper deals with convex relaxations for quadratic distance problems, a class of optimization problems relevant to several important topics in the analysis and synthesis of ro...
93
Voted
ISVLSI
2005
IEEE
15 years 6 months ago
2005
IEEE
Multimedia applications are often characterized by a large number of data accesses with regular and periodic access patterns. In these cases, optimized pipelined memory access con...
100
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
ISVLSI
2002
IEEE
15 years 5 months ago
2002
IEEE
Timed Shannon circuits have been proposed as a synthesis approach for a low power optimization technique at the logic level since overall circuit switching probabilities may be re...