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CIIA
2009
15 years 8 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
SERVICES
2010
105views more  SERVICES 2010»
15 years 4 months ago
Ensuring Resource-Level Quality for Services on Grids
Abstract--Service-Oriented Architectures address the development of distributed and dynamic service-based applications. Due to the dynamics of their environments, services should b...
Andre Lage Freitas, Jean-Louis Pazat, Nikos Parlav...
IJON
1998
158views more  IJON 1998»
15 years 6 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
UM
2009
Springer
16 years 1 months ago
User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
To provide personalized health recommendations concerning disabled persons, an adaptive system needs a detailed user model that can account for the peculiar aspects of the many exi...
Luca Chittaro, Roberto Ranon, Luca De Marco, Augus...
WECWIS
2005
IEEE
201views ECommerce» more  WECWIS 2005»
16 years 12 days ago
A Categorization of Collaborative Business Process Modeling Techniques
Business Process Modeling (BPM) is one of the key factors in defining service-oriented solutions for business collaborations. Like in traditional software engineering there is a n...
Stephan Roser, Bernhard Bauer