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» Modeling Program Predictability
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IPPS
1998
IEEE
13 years 11 months ago
Predicting the Running Times of Parallel Programs by Simulation
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
Radu Rugina, Klaus E. Schauser
CORR
2010
Springer
132views Education» more  CORR 2010»
13 years 7 months ago
Bayesian Network Based XP Process Modelling
A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development process. The model is capable of predicting the expected finish ti...
Mohamed Abouelela, Luigi Benedicenti
ISMB
1996
13 years 8 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
ETFA
2008
IEEE
14 years 2 months ago
From monotone inequalities to Model Predictive Control
The dater equalities constitute a well-known tool which allows the description of Timed Event Graphs in the field of (max, +) algebra. This paper gives an equivalent model in the...
Abdelhak Guezzi, Philippe Declerck, Jean-Louis Boi...