Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
We present the first version of a comprehensive conformance test suite for reasoners implementing the OWL 2 RL/RDF rules language and compliant super languages, up to the scale of...
In this paper, we propose a graph-based approach to constructing a multilingual association dictionary from Wikipedia, in which we exploit two kinds of links in Wikipedia articles...
Identification of regulatory signals in DNA depends on the nature and quality of the patterns of representative sequences. These patterns are constructed from training sets of se...
We propose a light-weight protocol for authentication of low-power devices. Our construction PUF-HB merges the positive qualities of two families of authentication functions. PUF ...