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ICDCS
2009
IEEE
14 years 6 months ago
On the Utility of Inference Mechanisms
A number of network path delay, loss, or bandwidth inference mechanisms have been proposed over the past decade. Concurrently, several network measurement services have been deplo...
Ethan Blanton, Sonia Fahmy, Greg N. Frederickson
TMA
2010
Springer
314views Management» more  TMA 2010»
14 years 4 months ago
On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network
In this work we discuss the use of passive measurements of TCP performance indicators in support of network operation and troubleshooting, presenting a case-study from a real 3G ce...
Peter Romirer-Maierhofer, Angelo Coluccia, Tobias ...
BMCBI
2008
166views more  BMCBI 2008»
13 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
INFOCOM
2011
IEEE
13 years 1 months ago
Bayesian-inference based recommendation in online social networks
—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Xiwang Yang, Yang Guo, Yong Liu
JMLR
2010
137views more  JMLR 2010»
13 years 4 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton