design a classifier. In this thesis, we present kernel methods for classification with irregularly sampled and contaminated … more discriminating power than those used by clinicians.Second, we consider one-class classification problem with …

Prediction using classification techniques is one of the fundamental feature widely applied in various fields …. Classification accuracy is still a great challenge due to data imbalance problem. The increased volume of data is also posing a … company. As the data imbalance increases it directly affects the classification accuracy of the entire system. AUC (area under …