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QOSA
2010
Springer
15 years 1 months ago
Statistical Inference of Software Performance Models for Parametric Performance Completions
Software performance engineering (SPE) enables software architects to ensure high performance standards for their applications. However, applying SPE in practice is still challengi...
Jens Happe, Dennis Westermann, Kai Sachs, Lucia Ka...
NN
2000
Springer
150views Neural Networks» more  NN 2000»
14 years 9 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
CIDU
2010
14 years 7 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
JSAC
2006
93views more  JSAC 2006»
14 years 9 months ago
Performance Enhancement of On-Board Communication Networks Using Outage Prediction
Abstract--A research area that has become increasingly important in recent years is that of on-board mobile communication, where users on a vehicle are connected to a local network...
Adeel Baig, Lavy Libman, Mahbub Hassan
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
14 years 11 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...