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» From Simple Features to Sophisticated Evaluation Functions
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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 8 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
GIS
2002
ACM
13 years 7 months ago
Towards an evaluation of quality for names placement methods
The cartographic labeling problem is the problem of placing text on a map. This includes the positioning of the labels, and determining the shape in the case of line and area feat...
Steven van Dijk, Marc J. van Kreveld, Tycho Strijk...
NIPS
2007
13 years 9 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
WSC
2007
13 years 10 months ago
Extension of the direct optimization algorithm for noisy functions
DIRECT (DIviding RECTangles) is a deterministic global optimization algorithm for bound-constrained problems. The algorithm, based on a space-partitioning scheme, performs both gl...
Geng Deng, Michael C. Ferris
ISPASS
2010
IEEE
14 years 2 months ago
Runahead execution vs. conventional data prefetching in the IBM POWER6 microprocessor
After many years of prefetching research, most commercially available systems support only two types of prefetching: software-directed prefetching and hardware-based prefetchers u...
Harold W. Cain, Priya Nagpurkar