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BMCBI
2005
127views more  BMCBI 2005»
13 years 7 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao
IROS
2009
IEEE
132views Robotics» more  IROS 2009»
14 years 2 months ago
Segregation in swarms of mobile robots based on the Brazil nut effect
— We study a simple algorithm inspired by the Brazil nut effect for achieving segregation in a swarm of mobile robots. The algorithm lets each robot mimic a particle of a certain...
Roderich Groß, Stéphane Magnenat, Fra...
CC
2008
Springer
133views System Software» more  CC 2008»
13 years 7 months ago
Hardness Amplification via Space-Efficient Direct Products
We prove a version of the derandomized Direct Product lemma for deterministic space-bounded algorithms. Suppose a Boolean function g : {0, 1}n {0, 1} cannot be computed on more th...
Venkatesan Guruswami, Valentine Kabanets
ICASSP
2011
IEEE
12 years 11 months ago
A novel tracking analysis of the Normalized Least Mean Fourth algorithm
In this work, the tracking analysis of the Normalized Least Mean Fourth (NLMF) algorithm is investigated for a random walk channel under very weak assumptions. The novelty of this...
Muhammad Moinuddin, Azzedine Zerguine
NN
1998
Springer
13 years 7 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita