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» Prediction intervals for regression models
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NN
2006
Springer
13 years 10 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
EUROPAR
2008
Springer
13 years 11 months ago
Exploration of the Influence of Program Inputs on CMP Co-scheduling
Recent studies have showed the effectiveness of job co-scheduling in alleviating shared-cache contention on Chip Multiprocessors. Although program inputs affect cache usage and thu...
Yunlian Jiang, Xipeng Shen
ICCD
2005
IEEE
108views Hardware» more  ICCD 2005»
14 years 6 months ago
Methods for Modeling Resource Contention on Simultaneous Multithreading Processors
Simultaneous multithreading (SMT) seeks to improve the computation throughput of a processor core by sharing primary resources such as functional units, issue bandwidth, and cache...
Tipp Moseley, Dirk Grunwald, Joshua L. Kihm, Danie...
JSS
2008
317views more  JSS 2008»
13 years 10 months ago
Predicting defect-prone software modules using support vector machines
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
Karim O. Elish, Mahmoud O. Elish
QRE
2010
129views more  QRE 2010»
13 years 8 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry