We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
: Schema matching is the task of finding semantic correspondences between elements of two schemas, which plays a key role in many database applications. In this paper, we cast the ...
Zhi Zhang, Pengfei Shi, Haoyang Che, Yong Sun, Jun...
Consider the complete n-vertex graph whose edge-lengths are independent exponentially distributed random variables. Simultaneously for each pair of vertices, put a constant flow ...
Abstract. Constrained stress majorization is a promising new technique for integrating application specific layout constraints into forcedirected graph layout. We significantly i...
We propose a declarative update language for RDF graphs which is based on the paradigms of query and view languages RQL and RVL. Our language, called RUL, ensures that the executio...
M. Magiridou, S. Sahtouris, Vassilis Christophides...