Understanding complex component-based systems often requires getting insight in how certain system properties, such as performance, trust, reliability, or structural attributes, c...
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
—Education of design engineering has started to change in response to the advancement of computer technology. This paper proposes a new design engineering educational framework u...
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...