In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Multi-Context Systems (MCS) are formalisms that enable the interlinkage of single knowledge bases, called contexts, via bridge rules. Recently, the evaluation of heterogeneous, no...
Seif El-Din Bairakdar, Minh Dao-Tran, Thomas Eiter...
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
This paper describes how to use annotation to provide semantic information. The applications include the automatic construction of a GUI so that the user input is constrained to a...
A feature represents a functional requirement fulfilled by a system. Since many maintenance tasks are expressed in terms of features, it is important to establish the corresponden...
Marcus Denker, Jorge Ressia, Orla Greevy, Oscar Ni...