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IJCNN
2000
IEEE
15 years 7 months ago
Sensitivity Analysis for Conic Section Function Neural Networks
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Lale Özyilmaz, Tülay Yildirim
220
Voted
ICDE
2008
IEEE
139views Database» more  ICDE 2008»
16 years 4 months ago
Maintaining Connectivity in Dynamic Multimodal Network Models
Network data models are frequently used as a mechanism to describe the connectivity between spatial features in many emerging GIS applications (location-based services, transporta...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
CHI
2006
ACM
16 years 3 months ago
Using hybrid networks for the analysis of online software development communities
Social network-based systems usually suffer from two major limitations: they tend to rely on a single data source (e.g. email traffic), and the form of network patterns is often p...
Yevgeniy Eugene Medynskiy, Nicolas Ducheneaut, Aym...
COMPLEX
2009
Springer
15 years 9 months ago
Comparing Networks from a Data Analysis Perspective
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
Wei Li, Jing-Yu Yang
OPODIS
2004
15 years 4 months ago
Comparison of Failures and Attacks on Random and Scale-Free Networks
Abstract. It appeared recently that some statistical properties of complex networks like the Internet, the World Wide Web or Peer-to-Peer systems have an important influence on the...
Jean-Loup Guillaume, Matthieu Latapy, Cléme...