Sciweavers

6329 search results - page 35 / 1266
» Detection of Stochastic Processes
Sort
View
175
Voted
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
14 years 7 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
114
Voted
INFOCOM
2012
IEEE
13 years 3 months 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...
107
Voted
CCE
2010
14 years 10 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
82
Voted
ICONIP
2009
14 years 10 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
103
Voted
ARTS
1999
Springer
15 years 5 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