736 search results - page 83 / 148 » Approximating the Number of Network Motifs |
164
Voted
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
183
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BIOWIRE
2007
Springer
15 years 10 months ago
2007
Springer
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...
153
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AAAI
2007
15 years 8 months ago
2007
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...
202
Voted
NN
2000
Springer
15 years 5 months ago
2000
Springer
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...
141
Voted
INFOCOM
2010
IEEE
15 years 4 months ago
2010
IEEE
—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...