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JUCS
2007
118views more  JUCS 2007»
13 years 11 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
ICMLA
2007
14 years 29 days ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
ADMA
2006
Springer
192views Data Mining» more  ADMA 2006»
14 years 3 months ago
GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
This work describes the use of a recently proposed technique
Wagner Rodrigo Weinert, Heitor S. Lopes
ADMA
2006
Springer
131views Data Mining» more  ADMA 2006»
14 years 5 months ago
Distance Guided Classification with Gene Expression Programming
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for cons...
Lei Duan, Changjie Tang, Tianqing Zhang, Dagang We...
ACSC
2009
IEEE
14 years 6 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