During the development and maintenance of ObjectOriented (OO) software, the information on the classes which are more prone to be changed is very useful. Developers and maintainer...
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
Abstract. We present a semantic model of typicality of concept members in description logics that accords well with a binary, globalist cognitive model of class membership and typi...
Katarina Britz, Johannes Heidema, Thomas Andreas M...