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» Multi-resolution Exploration in Continuous Spaces
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CHI
2007
ACM
16 years 4 months ago
Toolkit support for developing and deploying sensor-based statistical models of human situations
Sensor-based statistical models promise to support a variety of advances in human-computer interaction, but building applications that use them is currently difficult and potentia...
James Fogarty, Scott E. Hudson
HPCA
2003
IEEE
16 years 4 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
EVOW
2009
Springer
15 years 10 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
130
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ISCA
2009
IEEE
138views Hardware» more  ISCA 2009»
15 years 10 months ago
Achieving predictable performance through better memory controller placement in many-core CMPs
In the near term, Moore’s law will continue to provide an increasing number of transistors and therefore an increasing number of on-chip cores. Limited pin bandwidth prevents th...
Dennis Abts, Natalie D. Enright Jerger, John Kim, ...
ISDA
2008
IEEE
15 years 10 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...