@ARTICLE{ConilioneWang05Comp,
  author = {Paul C Conilione and Dian Hui Wang},
  title = {{A Comparative Study on Feature Selection for E.coli Promoter Recognition}},
  journal = {International Journal of Information Technology},
  year = {2005},
  volume = {11},
  pages = {54--66},
  number = {8},
  abstract = {This paper explores the application of feature selection by the Correlation
	based Feature Selection (CFS) algorithm on the problem of classification
	of E.coli promoters using neural networks, Support Vector Machines
	(SVM) and Extreme Learning Machines (ELM). It was found that even
	though in general the classification accuracy can be reduced by a
	statistically significant amount, in real terms this was only a few
	percent. The results also indicate some interesting characteristics
	of the features used in E-coli promoters. A comparative study with
	three typical classifiers was carried out in this study.},
}