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» Subjective Document Classification Using Network Analysis
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WWW
2010
ACM
14 years 5 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
SIGOPSE
1992
ACM
14 years 2 months ago
Names should mean what, not where
Abstract-- This paper describes the design and implementation1 of IRIS: an intentional resource indicator service. IRIS springs from the concept that end-users should not be bogged...
James O'Toole, David K. Gifford
IMC
2010
ACM
13 years 8 months ago
On the impact of layer-2 on node degree distribution
The Internet topology data collected through traceroute exploration has been extensively studied in the past. In particular, a remarkable property of the Internet, the power-law s...
Pascal Mérindol, Benoit Donnet, Olivier Bon...
ESANN
2000
14 years 3 days ago
Influence of weight-decay training in input selection methods
We describe the results of a research on the effect of weight-decay (WD) in input selection methods based on the analysis of a trained multilayer feedforward network. It was propos...
Mercedes Fernández-Redondo, Carlos Hern&aac...
CVPR
2004
IEEE
15 years 23 days ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman