1149 search results - page 26 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
85
Voted
ISNN
2005
Springer
15 years 4 months ago
2005
Springer
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
71
Voted
DAC
2005
ACM
15 years 12 months ago
2005
ACM
This paper presents a novel repeater insertion algorithm for the power minimization of realistic interconnect trees under given timing budgets. Our algorithm judiciously combines ...
95
Voted
TIP
2011
14 years 5 months ago
2011
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
104
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ICDM
2005
IEEE
15 years 4 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
GLVLSI
2000
IEEE
15 years 3 months ago
2000
IEEE
: We propose a novel evolutionary approach to the problem of timing-driven FPGA placement. The method used is evolutionary programming (EP) with incremental position encoded in the...