Abstract. This paper argues that accrual should be modelled in terms of reasoning about the application of preferences to sets of arguments, and shows how such reasoning can be for...
Temporal information has been the focus of recent attention in information extraction, leading to some standardization effort, in particular for the task of relating events in a t...
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Abstract. Two methods have been identified for Event-B model decomposition: shared variable and shared event. The purpose of this paper is to introduce the two approaches and the ...
Renato Silva, Carine Pascal, Thai Son Hoang, Micha...
One of the key deficiencies of the Semantic Web is its lack of cognitive plausibility. We argue that by accounting for people's reasoning mechanisms and cognitive representati...