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JCP
2007
150views more  JCP 2007»
15 years 6 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat
TSP
2008
118views more  TSP 2008»
15 years 6 months ago
Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders
Analytical modeling of the performance of video coders is essential in a variety of applications, such as power-constrained processing, complexity-driven video streaming, etc., whe...
Brian Foo, Yiannis Andreopoulos, Mihaela van der S...
LCTRTS
1998
Springer
15 years 10 months ago
Using UML for Modeling Complex Real-Time Systems
The embedded real-time software systems encountered in applications such as telecommunications, aerospace, and defense typically tend to be large and extremely complex. It is cruc...
Bran Selic
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 5 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
COLING
2008
15 years 7 months ago
Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach
We study the self-organization of the consonant inventories through a complex network approach. We observe that the distribution of occurrence as well as cooccurrence of the conso...
Animesh Mukherjee, Monojit Choudhury, Anupam Basu,...