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» Dependability Modeling and Analysis in Dynamic Systems
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UAI
2000
14 years 11 months ago
Building a Stochastic Dynamic Model of Application Use
Many intelligent user interfaces employ application and user models to determine the user's preferences, goals and likely future actions. Such models require application anal...
Peter Gorniak, David Poole
AICT
2008
IEEE
114views Communications» more  AICT 2008»
15 years 4 months ago
Blocking Analysis in Hybrid TDM-WDM PONs Supporting Elastic Traffic
— The Passive Optical Network (PON) is an attractive solution for delivering services with numerous applications, such as high-definition video, video conferencing and data traff...
John S. Vardakas, Vassilios G. Vassilakis, Michael...
NIPS
1998
14 years 11 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
HICSS
2003
IEEE
99views Biometrics» more  HICSS 2003»
15 years 3 months ago
Financial Model-Base Construction for Flexible Model Manipulation of Models and Solvers
As financial markets are volatile and rapidly changing, preciseness and agility in price evaluation and risk assessment in the portfolios are more important and decision support s...
Keun-Woo Lee, Soon-Young Huh
HICSS
1997
IEEE
109views Biometrics» more  HICSS 1997»
15 years 2 months ago
Performance Evaluation of a C++ Library Based Multithreaded System
One model of multithreading gaining popularity on multiprocessor systems is the message-driven model of computation. The message-driven model is a reactive model in which an arriv...
John G. Holm, Steven Parkes, Prithviraj Banerjee