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» Probability Theory on IF Events
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TSMC
2011
210views more  TSMC 2011»
14 years 4 months ago
Fault Diagnosis in Discrete-Event Systems: Incomplete Models and Learning
— Most state-based approaches to fault diagnosis of discrete-event systems require a complete and accurate model of the system to be diagnosed. In this paper, we address the prob...
Raymond H. Kwong, David L. Yonge-Mallo
AI
2008
Springer
14 years 10 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
INFOCOM
2009
IEEE
15 years 4 months ago
Event Recognition in Sensor Networks by Means of Grammatical Inference
Abstract—Modern military and civilian surveillance applications should provide end users with the high level representation of events observed by sensors rather than with the raw...
Sahin Cem Geyik, Boleslaw K. Szymanski
73
Voted
AI
2006
Springer
14 years 10 months ago
Ranking functions and rankings on languages
The Spohnian paradigm of ranking functions is in many respects like an order-of-magnitude reverse of subjective probability theory. Unlike probabilities, however, ranking function...
Franz Huber
IDA
2007
Springer
14 years 9 months ago
Second-order uncertainty calculations by using the imprecise Dirichlet model
Natural extension is a powerful tool for combining the expert judgments in the framework of imprecise probability theory. However, it assumes that every judgment is “true” and...
Lev V. Utkin