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» Modeling the Vulnerability Discovery Process
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BMCBI
2007
215views more  BMCBI 2007»
13 years 7 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
PEWASUN
2006
ACM
14 years 1 months ago
Revisiting neighbor discovery with interferences consideration
In wireless multi-hop networks, hello protocols for neighbor discovery are a basic service offered by the networking stack. However, their study usually rely on rather simplistic...
Elyes Ben Hamida, Guillaume Chelius, Eric Fleury
ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ENC
2005
IEEE
14 years 1 months ago
Using Alloy to model-check visual design notations
This paper explores the process of validation for the syntax of a graphical notation. We define a unified specification for five of the UML diagrams used by the Discovery Method a...
Anthony J. H. Simons, Carlos Alberto Fernán...
CHI
2009
ACM
13 years 5 months ago
Interaction programming: next steps
Interaction programming bridges the gap between interaction design and programming, but it has not yet been related directly to mainstream development practice. This paper present...
Harold W. Thimbleby