Systems such as adaptative and context–aware ones must adapt themselves to changing requirements at runtime. Modeling and implementing this kind of systems is a difficult opera...
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
This paper presents work in progress to construct a model for guiding and evaluating the quality of featureoriented models, called FMQ. Product line concepts are becoming increasi...
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feature-based model templates have been proposed as a technique for modeling software product lines. We describe a set of tools supporting the technique, namely a feature model ed...
Krzysztof Czarnecki, Michal Antkiewicz, Chang Hwan...