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» Approximating the Number of Network Motifs
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CORR
2010
Springer
209views Education» more  CORR 2010»
14 years 10 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
BIOWIRE
2007
Springer
15 years 2 months ago
Self-organizing Desynchronization and TDMA on Wireless Sensor Networks
Desynchronization is a novel primitive for sensor networks: it implies that nodes perfectly interleave periodic events to occur in a round-robin schedule. This primitive can be us...
Julius Degesys, Ian Rose, Ankit Patel, Radhika Nag...
AAAI
2007
15 years 9 days ago
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
Wei Sun, Kuo-Chu Chang
NN
2000
Springer
192views Neural Networks» more  NN 2000»
14 years 9 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...
INFOCOM
2010
IEEE
14 years 8 months ago
Optimal Probing for Unicast Network Delay Tomography
—Network tomography has been proposed to ascertain internal network performances from end-to-end measurements. In this work, we present priority probing, an optimal probing schem...
Yu Gu, Guofei Jiang, Vishal Singh, Yueping Zhang