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ADCM
2000
45views more  ADCM 2000»
15 years 6 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
CEJCS
2011
78views more  CEJCS 2011»
14 years 6 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig
SIGOPS
2002
65views more  SIGOPS 2002»
15 years 6 months ago
Commercially Viable Active Networking
Abstract - Active Networking is a new technology receiving significant attention from the research community. To this point, however, it has not been examined from the perspective...
Stuart Eichert, Osman N. Ertugay, Dan M. Nessett, ...
PROCEDIA
2010
114views more  PROCEDIA 2010»
15 years 5 months ago
Small world models for social network algorithms testing
Social networks have small-world property, hierarchical community structure, and some other properties. This paper proposes models of networks with these properties and algorithm ...
Igor Kanovsky
LCN
2003
IEEE
16 years 25 min ago
A Worst-Case Model for Co-Channel Interference in the Bluetooth Wireless System
This paper presents a model for the expected throughput in a Bluetooth network in presence of a number of other Bluetooth networks that cause radio interference. The analysis cons...
Simon Baatz, Matthias Frank, Peter Martini, Christ...