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» Dependence Modeling for Stochastic Simulation
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ISNN
2010
Springer
15 years 9 months ago
Learning to Believe by Feeling: An Agent Model for an Emergent Effect of Feelings on Beliefs
An agent's beliefs usually depend on cognitive factors, but also affective factors may play a role. This paper presents an agent model that shows how such affective effects on...
Zulfiqar A. Memon, Jan Treur
DFT
2005
IEEE
90views VLSI» more  DFT 2005»
15 years 10 months ago
On the Modeling and Analysis of Jitter in ATE Using Matlab
This paper presents a new jitter component analysis method for mixed mode VLSI chip testing in Automatic Test Equipment (ATE). The separate components are analyzed individually an...
Kyung Ki Kim, Jing Huang, Yong-Bin Kim, Fabrizio L...
WSC
2007
15 years 6 months ago
Alternative thread scoring methods in qualitative event graphs
Event Graphs (EGs) and Simulation Graph Models provide a powerful and general modeling framework for discrete event simulation. Qualitative Event Graphs (QEGs) extend the EG frame...
Ricki G. Ingalls, Douglas J. Morrice
SAFECOMP
2001
Springer
15 years 9 months ago
Tuning of Database Audits to Improve Scheduled Maintenance in Communication Systems
Abstract. To ensure the consistency of database subsystems involved in communication systems (e.g., telephone systems), appropriate scheduled maintenance policies are necessary. Au...
Stefano Porcarelli, Felicita Di Giandomenico, Amin...
UAI
2003
15 years 5 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller