Classifier Design

A Bayesian Approach to Nonlinear Probit Gene Selection and Classification

Zhou, X., Wang, X., and Dougherty, E. R., Franklin Institute, Vol. 341, No. 1, 2, 137-156, 2004

Classification with Reject Option in Gene Expression Data

Hanczar, B., and Dougherty, E. R., Bioinformatics, Vol. 24, 1889-1895, doi: 10.1093/bioinformatics/btn349, September, 2008

How Many Samples Are Needed to Build a Classifier: A General Sequential Approach

Fu, W. J., Dougherty, E. R., Mallick, B., and Carroll, R. J., Bioinformatics, Vol. 21, No. 1, 63-70, January, 2005

Multi-class Cancer Classification Using Multinomial Probit Regression with Bayesian Variable Selection

Zhou, X., Wang, X., and Dougherty, E. R., IEE Proceedings System Biology, Vol. 153, No. 2, 70-78, March, 2006

Noise-Injected Neural Networks Show Promise for Use on Small-Sample Expression Data

Hua, J., Lowey, J., Xiong, Z., and Dougherty, E. R.

Nonlinear-Probit Gene Classification Using Mutual-Information and Wavelet Based Feature Selection

Zhou, X., Wang, X., and Dougherty, E. R., Biological Systems, Vol. 12, No. 3, 371-386, September, 2004

Optimal Robust Classifiers

Dougherty, E. R., Hua, J., Xiong, Z., and Chen, Y., Pattern Recognition, Vol. 38, No. 10, 1520-1532, October, 2005

Pattern Recognition Theory in Nonlinear Signal Processing

Dougherty, E. R., and Barrera, J., Mathematical Imaging and Vision, Vol. 16, No. 3, 181-197, 2002

Which is Better: Hold-out or Full-sample Classifier Design

Brun, M., Xu, Q., and Dougherty, E. R., EURASIP Journal on Bioinformatics and Systems Biology, Vol. 2008, Article ID 297945, 8 pages, doi:10.1155/2008/297945, April, 2008