The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
— UML sequence diagrams focus on the interaction between different classes. For distributed real time transaction processing it is possible to end up with complex sequence diagra...
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
The rCOS modeler implements the requirements modelling phase of a model driven component-based software engineering process. Components are specified in rCOS, a relational calculus...