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IDA
2005
Springer
13 years 10 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
CIARP
2007
Springer
13 years 11 months ago
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
Abstract. Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference system...
Tomás Arredondo Vidal, Félix V&aacut...
ACSC
2009
IEEE
13 years 11 months ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
COMSIS
2010
13 years 2 months ago
Generative 3D images in a visual evolutionary computing system
This paper presents a novel computer-aided design system which uses a computational approach to producing 3D images for stimulating creativity of designers. It introduces the genet...
Hong Liu
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
13 years 10 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint