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ICPR
2006
IEEE
16 years 5 months ago
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
Siwei Luo, Yu Zheng, Ziang Lv
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 9 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
ICDE
2008
IEEE
146views Database» more  ICDE 2008»
16 years 5 months ago
Handling Uncertain Data in Array Database Systems
Scientific and intelligence applications have special data handling needs. In these settings, data does not fit the standard model of short coded records that had dominated the dat...
Tingjian Ge, Stanley B. Zdonik
ICIP
2009
IEEE
16 years 5 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...
HPCA
2005
IEEE
16 years 4 months ago
On the Limits of Leakage Power Reduction in Caches
If current technology scaling trends hold, leakage power dissipation will soon become the dominant source of power consumption in high performance processors. Caches, due to the f...
Yan Meng, Timothy Sherwood, Ryan Kastner