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» On the Power of the Randomized Iterate
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GECCO
2009
Springer
15 years 2 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ITC
1998
IEEE
94views Hardware» more  ITC 1998»
15 years 2 months ago
A method of serial data jitter analysis using one-shot time interval measurements
A method for measuring inter-symbol interference, duty cycle distortion, random jitter and periodic jitter is described. The Blackman-Tukey method of signal analysis is used. This...
Jan B. Wilstrup
FOCS
1989
IEEE
15 years 1 months ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
IPPS
1997
IEEE
15 years 1 months ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei
FOCS
1991
IEEE
15 years 1 months ago
A General Approach to Removing Degeneracies
We wish to increase the power of an arbitrary algorithm designed for non-degenerate input, by allowing it to execute on all inputs. We concentrate on in nitesimal symbolic perturba...
Ioannis Z. Emiris, John F. Canny