Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
In this article we introduce a new conception of three-dimensional DataSpace, which is physical space enhanced by connectivity to the network. DataSpace is addressed geographicall...
A data structure is said to be persistent when any update operation returns a new structure without altering the old version. This paper introduces a new notion of persistence, cal...
Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective whe...
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
Monika Lanzenberger, Jennifer Sampson, Markus Rest...