This paper evaluates linear models for predicting the Digital Unix five-second load average from 1 to 30 seconds into the future. A detailed statistical study of a large number of...
While there have been several proposals of high performance global computing systems, scheduling schemes for the systems have not been well investigated. The reason is difficultie...
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
This paper describes a hypermedia infrastructure, called HyperDisco, designed to address important issues such as integration, collaboration, versioning, scalability, openness, di...
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...