Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm
Gene expression data sets are used to classify and predict patient diagnostic categories. As we know, it is extremely difficult and expensive to obtain gene expression labelled examples. Moreover, conventional supervised approaches cannot function properly when labelled data (training examples) are...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2011
|
| Online Access: | https://eprints.nottingham.ac.uk/2024/ |