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159
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BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
IMC
2006
ACM
15 years 9 months ago
binpac: a yacc for writing application protocol parsers
A key step in the semantic analysis of network traffic is to parse the traffic stream according to the high-level protocols it contains. This process transforms raw bytes into s...
Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. ...
122
Voted
WSC
2000
15 years 4 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
CCR
2008
106views more  CCR 2008»
15 years 3 months ago
Message-efficient dissemination for loop-free centralized routing
With steady improvement in the reliability and performance of communication devices, routing instabilities now contribute to many of the remaining service degradations and interru...
Haldane Peterson, Soumya Sen, Jaideep Chandrasheka...
140
Voted
SBP
2010
Springer
15 years 8 months ago
Social Network Data and Practices: The Case of Friendfeed
Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the sear...
Fabio Celli, F. Marta L. Di Lascio, Matteo Magnani...