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» Computer graphics identification using genetic algorithm
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NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 2 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 7 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
138
Voted
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 3 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...
123
Voted
SIBGRAPI
2005
IEEE
15 years 9 months ago
Boolean Operations on Surfel-Bounded Objects Using Constrained BSP-Trees
Point-based modeling and rendering is an active area of research in Computer Graphics. The concept of points with attributes (e.g. normals) is usually referred to as surfels, and ...
Marcus A. C. Farias, Carlos Eduardo Scheidegger, J...
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 8 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom