The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Tools for mining information from data can create added value for the Internet. As the majority of electronic documents available over the network are in unstructured textual form...
Understanding distributed applications is a tedious and di cult task. Visualizations based on process-time diagrams are often used to obtain a better understanding of the executio...
In this paper the consolidate identification of faults, distinguished as transient or permanent/intermittent, is approached. Transient faults discrimination has long been performe...
Andrea Bondavalli, Silvano Chiaradonna, Felicita D...
The world wide web(WWW)has becomecritical for storing and disseminatingbiological data. It offers an additional opportunity, however,to support distributed computation and sharing...
Richard O. Chen, Ramon M. Felciano, Russ B. Altman