Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
This paper presents an algorithm for automatically generating UML statecharts from a collection of UML sequence diagrams. Computer support for this transition between requirements...
In contrast with classical reasoning, where a solution is either correct or incorrect, approximate reasoning tries to compute solutions which are close to the ideal solution, with...
Alan Verberne, Frank van Harmelen, Annette ten Tei...
The structural similarity of neural networks and genetic regulatory networks to digital circuits, and hence to each other, was noted from the very beginning of their study [1, 2]....
In this paper, dynamic meta modeling is proposed as a new approach to the operational semantics of behavioral UML diagrams. The dynamic meta model extends the well-known static met...
Gregor Engels, Jan Hendrik Hausmann, Reiko Heckel,...