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» Using Machine Learning to Guide Architecture Simulation
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SBACPAD
2003
IEEE
138views Hardware» more  SBACPAD 2003»
14 years 1 months ago
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing
 This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid flows based on the finite difference method and designed for parallel compu...
João Paulo De Angeli, Andréa M. P. V...
AAAI
2004
13 years 9 months ago
Towards Autonomic Computing: Adaptive Job Routing and Scheduling
Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have beg...
Shimon Whiteson, Peter Stone
ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 7 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
ISCA
2010
IEEE
199views Hardware» more  ISCA 2010»
14 years 26 days ago
A case for FAME: FPGA architecture model execution
Given the multicore microprocessor revolution, we argue that the architecture research community needs a dramatic increase in simulation capacity. We believe FPGA Architecture Mod...
Zhangxi Tan, Andrew Waterman, Henry Cook, Sarah Bi...
IJON
2006
134views more  IJON 2006»
13 years 8 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...