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IJAR
2008
95views more  IJAR 2008»
15 years 6 months ago
Complexity results for enhanced qualitative probabilistic networks
While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
Johan Kwisthout, Gerard Tel
FUIN
2006
160views more  FUIN 2006»
15 years 6 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
GRID
2006
Springer
15 years 6 months ago
Campus Grids Meet Applications: Modeling, Metascheduling and Integration
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
Yonghong Yan, Barbara M. Chapman
CN
2007
94views more  CN 2007»
15 years 6 months ago
Modeling and generating realistic streaming media server workloads
Currently, Internet hosting centers and content distribution networks leverage statistical multiplexing to meet the performance requirements of a number of competing hosted networ...
Wenting Tang, Yun Fu, Ludmila Cherkasova, Amin Vah...
COMCOM
2007
82views more  COMCOM 2007»
15 years 6 months ago
Jumping ant routing algorithm for sensor networks
Enterprises that may rely on critical equipments which are constantly moving around, for example, hospitals – need to ensure they can know the current location of vital but mobi...
Wei-Ming Chen, Chung-Sheng Li, Fu-Yu Chiang, Han-C...