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» Data Mining for Genetics: A Genetic Algorithm Approach
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ROCAI
2004
Springer
15 years 9 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
158
Voted
NAR
2007
97views more  NAR 2007»
15 years 3 months ago
Gene Aging Nexus: a web database and data mining platform for microarray data on aging
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R...
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 10 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
SOCO
2008
Springer
15 years 3 months ago
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
Abstract We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting te...
William B. Langdon, Andrew P. Harrison
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean