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NIPS
1993
15 years 7 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
ADHOC
2006
124views more  ADHOC 2006»
15 years 6 months ago
Mobility-capacity-delay trade-off in wireless ad hoc networks
We show that there is a trade-off among mobility, capacity, and delay in ad hoc networks. More specifically, we consider two schemes for node mobility in ad hoc networks. We divid...
Renato M. de Moraes, Hamid R. Sadjadpour, J. J. Ga...
NDSS
2007
IEEE
16 years 24 days ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
BROADNETS
2007
IEEE
15 years 10 months ago
Generic optical network provisioning services to support emerging grid applications
Emerging high-end applications require a rich set of network provisioning services that go beyond the traditional source-destination, end-to-end path service. They also require hig...
Yufeng Xin, Lina Battestilli, Gigi Karmous-Edwards
NIPS
1996
15 years 7 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger