A GA-based feature selection and parameters optimizationfor support vector machines
Top Cited Papers
- 31 August 2006
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 31 (2), 231-240
- https://doi.org/10.1016/j.eswa.2005.09.024
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Essential roles for receiver operating characteristic (ROC) methodology in classifier neural network applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Gene Selection for Cancer Classification using Support Vector MachinesMachine Learning, 2002
- Dimensionality reduction using genetic algorithmsIEEE Transactions on Evolutionary Computation, 2000
- Support vector machines for 3D object recognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- Feature Selection via Mathematical ProgrammingINFORMS Journal on Computing, 1998
- Feature subset selection using a genetic algorithmIEEE Intelligent Systems and their Applications, 1998
- A Tutorial on Support Vector Machines for Pattern RecognitionData Mining and Knowledge Discovery, 1998
- Wrappers for feature subset selectionArtificial Intelligence, 1997
- Generating ROC curves for artificial neural networksIEEE Transactions on Medical Imaging, 1997
- On Comparing Classifiers: Pitfalls to Avoid and a Recommended ApproachData Mining and Knowledge Discovery, 1997