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» Models of Behavior Deviations in Model-Based Systems
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ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 2 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
EICS
2009
ACM
13 years 11 months ago
A formal approach supporting the comparative predictive assessment of the interruption-tolerance of interactive systems
This paper presents an approach for investigating in a predictive way potential disruptive effects of interruptions on task performance in a multitasking environment. The approach...
Philippe A. Palanque, Marco Winckler, Jean-Fran&cc...
CHI
2010
ACM
13 years 7 months ago
How routine learners can support family coordination
Researchers have detailed the importance of routines in how people live and work, while also cautioning system designers about the importance of people's idiosyncratic behavi...
Scott Davidoff, John Zimmerman, Anind K. Dey
COMPSAC
1998
IEEE
13 years 12 months ago
M-base: Enduser-Initiative Application Development Based on Message Flow and Componentware
Explosive increase in enduser computing on distributed systems requires that endusers develop application software by themselves. One solution is given as a formula of "a dom...
Takeshi Chusho, Mitsuyoshi Matsumoto, Yuji Konishi
ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls