Multi-Classifier Systems for Bioinformatics Problems
Vasile Palade, Oxford University, UK

Abstract:

Multi-Classifier Systems have fast been gaining popularity among researchers for their ability to fuse together multiple classification outputs for better accuracy and classification. I will first present some current issues in the design of multi-classifier systems before moving on to present our multi-classifier developments for some Bioinformatics problems, mainly gene identification in DNA sequences, but not only. Our neuro-genetic based multi-classifier systems have outperformed the results of other prediction systems for some standard data sets like E.coli or Human DNA datasets.