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COGSR
2011
97views more  COGSR 2011»
13 years 2 months ago
Sleep loss and driver performance: Quantitative predictions with zero free parameters
Fatigue has been implicated in an alarming number of motor vehicle accidents, costing billions of dollars and thousands of lives. Unfortunately, the ability to predict performance...
Glenn Gunzelmann, L. Richard Moore, Dario D. Salvu...
AES
2011
Springer
232views Cryptology» more  AES 2011»
12 years 7 months ago
Reliable performance prediction for multigrid software on distributed memory systems
We propose a model for describing and predicting the parallel performance of a broad class of parallel numerical software on distributed memory architectures. The purpose of this ...
Giuseppe Romanazzi, Peter K. Jimack, Christopher E...
ENTCS
2010
118views more  ENTCS 2010»
13 years 4 months ago
Systematic Refinement of Performance Models for Concurrent Component-based Systems
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Lucia Kapová, Steffen Becker
PAMI
2007
97views more  PAMI 2007»
13 years 6 months ago
Statistical Performance Evaluation of Biometric Authentication Systems Using Random Effects Models
As biometric authentication systems become more prevalent, it is becoming increasingly important to evaluate their performance. The current paper introduces a novel statistical me...
Sinjini Mitra, Marios Savvides, Anthony Brockwell
NN
2000
Springer
150views Neural Networks» more  NN 2000»
13 years 6 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