—This paper presents an approach using social semantics for the task of topic labelling by means of Open Topic Models. Our approach utilizes a social ontology to create an alignm...
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
Model-driven performance prediction methods require detailed design models to evaluate the performance of software systems during early development stages. However, the complexity...
Abstract. We show how computations such as those involved in American or European-style option price valuations with the explicit finite difference method can be performed in par...
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...