Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROV...
Bruce Roberts, Nicholas J. Pioch, William Ferguson
3D representations of human physiology provide interesting options in the field of education. Understanding the human brain seems to be much easier when the anatomical structure is...
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...