Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
The following article is motivated by the current efforts of the Object Management Group (OMG) to standardize object-oriented modelling languages. In the face of the great economi...
Various simplified or improved, and partly corrected well-known implicit characterizations of the complexity classes FPTIME and NC are presented. Primarily, the interest is in si...
Object-oriented frameworks are a powerful reuse technique but they are also very complex and difficult to design. Framework’s design aims at separating the invariant aspects acr...
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...