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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 6 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
WIOPT
2010
IEEE
15 years 4 months ago
Optimizing power allocation in interference channels using D.C. programming
Abstract--Power allocation is a promising approach for optimizing the performance of mobile radio systems in interference channels. In the present paper, the non-convex objective f...
Hussein Al-Shatri, Tobias Weber
EH
2004
IEEE
107views Hardware» more  EH 2004»
15 years 10 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
CPAIOR
2006
Springer
15 years 10 months ago
A Totally Unimodular Description of the Consistent Value Polytope for Binary Constraint Programming
Abstract. We present a theoretical study on the idea of using mathematical programming relaxations for filtering binary constraint satisfaction problems. We introduce the consisten...
Ionut D. Aron, Daniel H. Leventhal, Meinolf Sellma...
AUTOMATICA
2008
76views more  AUTOMATICA 2008»
15 years 6 months ago
Structured semidefinite programs for the control of symmetric systems
In this paper we show how the symmetry present in many linear systems can be exploited to significantly reduce the computational effort required for controller synthesis. This app...
Randy Cogill, Sanjay Lall, Pablo A. Parrilo