We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other da...
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Cha...
The tuplespace system is a popular cooperative communication paradigm in service-oriented computing. Tuple matching in existing tuplespace systems is either type-based or object-ba...
Abstract. We aim to demonstrate that automated deduction techniques, in particular those following the model computation paradigm, are very well suited for database schema/query re...
Peter Baumgartner, Ulrich Furbach, Margret Gro&szl...
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...