Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
Abstract. The aim of this paper is to provide insight in the important role simulation technologies can play in the context of effective business process-oriented learning. The gap...
Alexander Karapidis, Lucia Pannese, Dimitra Pappa,...
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
Abstract. The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are p...