Estimating the Generalization Performance of an SVM Efficiently
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An introduction to variable and feature selection
The Journal of Machine Learning Research
A novel feature selection method to improve classification of gene expression data
APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Enhancing genetic feature selection through restricted search and Walsh analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An efficient SVM-GA feature selection model for large healthcare databases
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Information Processing Letters
A memetic algorithm for gene selection and molecular classification of cancer
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences
Expert Systems with Applications: An International Journal
Kernel based support vector machine via semidefinite programming: Application to medical diagnosis
Computers and Operations Research
A support vector machine ensemble for cancer classification using gene expression data
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
A genetic embedded approach for gene selection and classification of microarray data
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
A study of crossover operators for gene selection of microarray data
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
A new combined filter-wrapper framework for gene subset selection with specialized genetic operators
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Gene selection and classification using Taguchi chaotic binary particle swarm optimization
Expert Systems with Applications: An International Journal
A hybrid model to favor the selection of high quality features in high dimensional domains
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
An unsupervised approach to feature discretization and selection
Pattern Recognition
A new gene selection method for microarray data based on PSO and informativeness metric
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
| Hi-index | 0.00 |
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to a fuzzy logic based pre-filtering technique. The GA is used to evolve gene subsets whose fitness is evaluated by a SVM classifier. Using archive records of ”good” gene subsets, a frequency based technique is introduced to identify the most informative genes. Our approach is assessed on two well-known cancer datasets and shows competitive results with six existing methods.