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» Information Flows in Causal Networks
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WWW
2007
ACM
15 years 10 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
ISCC
2006
IEEE
128views Communications» more  ISCC 2006»
15 years 3 months ago
Adjacent 2-Route Flow Approach for Restorable Dynamic Routing in MPLS Networks
In this paper we focus on issues of restorable dynamic routing in MPLS networks. We assume that the considered MPLS network must provide reliable service including restorable rout...
Krzysztof Walkowiak
APNOMS
2006
Springer
15 years 1 months ago
Experiences in End-to-End Performance Monitoring on KOREN
As the network technology has been developed, the Next Generation Internet (NGI) such as Internet2, KOREN, KREONET2 and etc has been deployed to support bandwidth of Giga bps. And,...
Wang-Cheol Song, Deok-Jae Choi
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 2 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
BMCBI
2008
166views more  BMCBI 2008»
14 years 9 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf