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CCE
2008
13 years 8 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
ENTCS
1998
115views more  ENTCS 1998»
13 years 7 months ago
A Testing Equivalence for Reactive Probabilistic Processes
We consider a generalisation of Larsen and Skou’s [19] reactive probabilistic transition systems which exhibit three kinds of choice: action-guarded probabilistic choice, extern...
Marta Z. Kwiatkowska, Gethin Norman
ICML
2004
IEEE
14 years 9 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
ICARIS
2009
Springer
14 years 2 months ago
A Sense of 'Danger' for Windows Processes
The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In thi...
Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish...
EDBT
2009
ACM
173views Database» more  EDBT 2009»
14 years 23 days ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...