In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
This paper describes the background, theoretic model, implementation and use of the Rechtwijzer. The Rechtwijzer ("conflict resolution guide") is the online application o...
The paper has two goals: firstly, we explain how ontology mapping formalisms can be used to denote the many interpretations of a given legal concept; secondly, we provide a short c...
Piotr Stolarski, Tadeusz Tomaszewski, John Zelezni...