We have investigated strategies for enhancing ensemble learning algorithms for DNA microarray data analysis. By using modified versions of AdaBoost, LogitBoost and BagBoosting we have shown that feature non-replacement provides an effective enhancement to the performance of all three algorithms, and overall, BagBoosting with feature non-replacement had the lowest error rates when used on six commonly-used cancer datasets.
|Number of pages||6|
|Publication status||Published - 2007|
|Event||2007 International Joint Conference on Neural Networks - Orlando, United States|
Duration: 12 Aug 2007 → 17 Aug 2007
|Conference||2007 International Joint Conference on Neural Networks|
|Period||12/08/07 → 17/08/07|