We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Abstract. This paper presents Relations Graph – GR a methodology to automate the generation of coordination mechanisms in computational environments. GR explores encapsulation an...
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, ...
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. ...