In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
We present a general framework for analysis and design of optimization based numerical feedback stabilization schemes utilizing ideas from relaxed dynamic programming. The applicat...
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
The idea of a combined reference model- and view-based specification approach has been proposed recently in the software engineering community. In this paper we present a specifica...
Gregor Engels, Reiko Heckel, Gabriele Taentzer, Ha...