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ATS
2000
IEEE
98views Hardware» more  ATS 2000»
15 years 10 months ago
Embedded core testing using genetic algorithms
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
Ruofan Xu, Michael S. Hsiao
HPDC
1999
IEEE
15 years 10 months ago
Overview of a Performance Evaluation System for Global Computing Scheduling Algorithms
While there have been several proposals of high performance global computing systems, scheduling schemes for the systems have not been well investigated. The reason is difficultie...
Atsuko Takefusa, Satoshi Matsuoka, Hidemoto Nakada...
KBSE
1997
IEEE
15 years 10 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
CEC
2007
IEEE
15 years 10 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Volker Nannen, A. E. Eiben
ICML
1994
IEEE
15 years 9 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee