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» Tackling Large State Spaces in Performance Modelling
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PE
2011
Springer
266views Optimization» more  PE 2011»
14 years 11 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
GLVLSI
2006
IEEE
98views VLSI» more  GLVLSI 2006»
15 years 10 months ago
Rapid intermodulation distortion estimation in fully balanced weakly nonlinear Gm-C filters using state-space modeling
State-space modeling of fully differential Gm-C filters with weak nonlinearities is used to develop a fast algorithm for intermodulation distortion estimation. It results in sim...
Paul Sotiriadis, Abdullah Celik, Zhaonian Zhang
PVLDB
2010
168views more  PVLDB 2010»
15 years 2 months ago
Active Complex Event Processing: Applications in Real-Time Health Care
Our analysis of many real-world event based applications has revealed that existing Complex Event Processing technology (CEP), while effective for efficient pattern matching on e...
Di Wang, Elke A. Rundensteiner, Richard Ellison, H...
AAAI
2006
15 years 5 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
TJS
2002
94views more  TJS 2002»
15 years 3 months ago
A Fully Implicit Parallel Ocean Model Using MUMPS
The formulation, implementation and performance of a new fully implicit parallel model of the ocean circulation is presented. Within this model, steady states can be traced in one ...
Jos de Kloe, Aad J. van der Steen, Hakan Öks&...