All Outputs (2)

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (2012)
Journal Article
Glaab, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7(7), Article e39932. https://doi.org/10.1371/journal.pone.0039932

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new... Read More about Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control (2012)
Conference Proceeding
Benatar, N., Aickelin, U., & Garibaldi, J. M. (2012). An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control.

It has often been suggested that when faced with large amount of uncertainty in situations of automated control type-2 fuzzy logic based controllers will out perform the simpler type-1 varieties due to the latter lacking a mechanism to model this un... Read More about An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control.