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» Approximate Learning of Dynamic Models
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NOMS
2006
IEEE
16 years 10 days ago
Self-Adaptive SLA-Driven Capacity Management for Internet Services
— This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpo...
Bruno D. Abrahao, Virgilio Almeida, Jussara M. Alm...
PE
2010
Springer
123views Optimization» more  PE 2010»
15 years 1 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley
BMCBI
2006
239views more  BMCBI 2006»
15 years 6 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
AAAI
1994
15 years 7 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
INFORMATICALT
2002
191views more  INFORMATICALT 2002»
15 years 6 months ago
Optimal Control of a Well-Stirred Bioreactor in the Presence of Stochastic Perturbations
We study the stochastic model for bioremediation in a bioreactor with ideal mixing. The dynamics of the examined system is described by stochastic differential equations. We consid...
Vadim Azhmyakov