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ASUNAM
2011
IEEE
12 years 8 months ago
Predicting Network Response Times Using Social Information
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
Chen Liang, Sharath Hiremagalore, Angelos Stavrou,...
DATE
2002
IEEE
96views Hardware» more  DATE 2002»
14 years 1 months ago
A Linear-Centric Simulation Framework for Parametric Fluctuations
The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...
Emrah Acar, Sani R. Nassif, Lawrence T. Pileggi
AIED
2005
Springer
14 years 2 months ago
Engagement tracing: using response times to model student disengagement
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
Joseph E. Beck
VLSID
2008
IEEE
153views VLSI» more  VLSID 2008»
14 years 9 months ago
Total Power Minimization in Glitch-Free CMOS Circuits Considering Process Variation
Compared to subthreshold leakage, dynamic power is normally much less sensitive to the process variation due to its approximately linear relation to the process parameters. Howeve...
Yuanlin Lu, Vishwani D. Agrawal
IJON
2006
90views more  IJON 2006»
13 years 8 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...