Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification
- 31 October 2018
- journal article
- research article
- Published by Elsevier BV in Computers in Biology and Medicine
- Vol. 103, 262-268
- https://doi.org/10.1016/j.compbiomed.2018.10.034
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Sparse logistic regression with a L1/2 penalty for gene selection in cancer classificationBMC Bioinformatics, 2013
- Gene selection and classification using Taguchi chaotic binary particle swarm optimizationExpert Systems with Applications, 2011
- Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional dataBMC Bioinformatics, 2011
- Extended Bayesian information criteria for model selection with large model spacesBiometrika, 2008
- Hybrid huberized support vector machines for microarray classification and gene selectionBioinformatics, 2008
- Support vector machines with adaptive penaltyComputational Statistics & Data Analysis, 2007
- A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classificationTalanta, 2007
- Geometrical Properties of Nu Support Vector Machines with Different NormsNeural Computation, 2005
- Gene selection using support vector machines with non-convex penaltyBioinformatics, 2005
- A Model Selection Approach for the Identification of Quantitative Trait Loci in Experimental CrossesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002