Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
In this paper, we propose a probabilistic framework targeting three important issues in the computation of quality and trust in decentralized systems. Specifically, our approach a...
Abstract. In the domain of ubiquitous computing, the ability to identify the occurrence of situations is a core function of being ’contextaware’. Given the uncertain nature of ...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon A. Do...
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...