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IPPS
1998
IEEE
15 years 10 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
CP
2006
Springer
15 years 10 months ago
Mini-bucket Elimination with Bucket Propagation
Many important combinatorial optimization problems can be expressed as constraint satisfaction problems with soft constraints. When problems are too difficult to be solved exactly,...
Emma Rollon, Javier Larrosa
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 10 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 10 months ago
An artificial immune system and its integration into an organic middleware for self-protection
Our human body is well protected by antibodies from our biological immune system. This protection system matured over millions of years and has proven its functionality. In our re...
Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 8 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu