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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 6 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
MOC
2002
131views more  MOC 2002»
15 years 6 months ago
Some baby-step giant-step algorithms for the low hamming weight discrete logarithm problem
In this paper, we present several baby-step giant-step algorithms for the low hamming weight discrete logarithm problem. In this version of the discrete log problem, we are require...
Douglas R. Stinson
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
16 years 7 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
BMCBI
2011
15 years 1 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
176
Voted
PDP
2010
IEEE
15 years 11 months ago
Load Balancing Algorithms with Partial Information Management for the DLML Library
Abstract—Load balancing algorithms are an essential component of parallel computing reducing the response time of applications. Frequently, balancing algorithms have a centralize...
Juan Santana-Santana, Miguel A. Castro-Garcí...