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» Detection of Stochastic Processes
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SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
13 years 4 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu
INFOCOM
2012
IEEE
12 years 9 days ago
Stochastic analysis of horizontal IP scanning
—Intrusion Detection Systems (IDS) have become ubiquitous in the defense against virus outbreaks, malicious exploits of OS vulnerabilities, and botnet proliferation. As attackers...
Derek Leonard, Zhongmei Yao, Xiaoming Wang, Dmitri...
CCE
2010
13 years 7 months ago
Multi-scale methods and complex processes: A survey and look ahead
AbstrAct A comprehensive overview of numerical methodologies currently available for analyzing and building understanding of complex processes is presented. Both equation-free and ...
Angelo Lucia
ICONIP
2009
13 years 7 months ago
Quasi-Deterministic Partially Observable Markov Decision Processes
We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
Camille Besse, Brahim Chaib-draa
ARTS
1999
Springer
14 years 2 months ago
Specifying Performance Measures for PEPA
Stochastic process algebras such as PEPA provide ample support for the component-based construction of models. Tools compute the numerical solution of these models; however, the st...
Graham Clark, Stephen Gilmore, Jane Hillston