We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
We outline work to be carried out within the framework of an impending EC project. The goal is to construct a language-independent information system for a specific domain (environ...
In this paper we present contrastive colour studies done using COMPARA, the largest edited parallel corpus in the world (as far as we know). The studies were the result of semanti...
A key issue in artificial intelligence lies in finding the amount of input detail needed to do successful learning. Too much detail causes overhead and makes learning prone to ove...
Requirement analysis continues to be one of the most critical and challenging phases during the software development process. Many object-oriented methodologies identify three pri...
Peter J. Clarke, Yingbo Wang, Tuan L. Cameron, Yal...