Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
We describe an approach designed to reduce the costs of ontology development through the use of untrained, volunteer knowledge engineers. Results are provided from an experiment i...
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
Abstract. Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this pape...
Lei Jiang, Daniele Barone, Alexander Borgida, John...