602 search results - page 47 / 121 » Unsupervised Problem Decomposition Using Genetic Programming |
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
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...
TEC
2008
14 years 9 months ago
2008
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
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FBIT
2007
IEEE
15 years 4 months ago
2007
IEEE
—Standard genetic programming genotypes are generally highly disorganized and poorly structured, with little code replication. This is also true of existing developmental genetic...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Initial results have been achieved for automatic synthesis of MEMS system-level lumped parameter models using genetic programming and bond graphs. This paper first discusses the ne...