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» Variable selection using random forests
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CP
2006
Springer
13 years 10 months ago
Dynamic Symmetry Breaking Restarted
ion of a given partial assignment of values to variables. Compared with other symmetry breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodat...
Daniel S. Heller, Meinolf Sellmann
AAAI
2008
13 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
CEC
2008
IEEE
13 years 8 months ago
Multilevel cooperative coevolution for large scale optimization
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping ba...
Zhenyu Yang, Ke Tang, Xin Yao
JSAT
2008
63views more  JSAT 2008»
13 years 6 months ago
Whose side are you on? Finding solutions in a biased search-tree
We introduce a new jump strategy for look-ahead based satisfiability (Sat) solvers that aims to boost their performance on satisfiable formulae, while maintaining their behavior o...
Marijn Heule, Hans van Maaren
SIMPRA
2008
99views more  SIMPRA 2008»
13 years 6 months ago
Response surface methodology for constrained simulation optimization: An overview
This article summarizes `Generalized Response Surface Methodology'(GRSM), extending Box and Wilson's `Response Surface Methodology'(RSM). GRSM allows multiple rando...
Jack P. C. Kleijnen