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We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learning rate ...
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Multiple Kernel Learning (MKL) enables to learn the kernel, from an ensemble of ...
This contribution is an attempt to systematise our approach to the design of a virtual campus. Activities in the recently started TECFA virtual campus rely on Internet tools, but they concern both distance teaching and presential interactions. Designing le ...
RE use in industry is hampered by a poor understanding of RE practices and their benefits. Teaching RE at the university level is therefore an important endeavor. This education can ideally be provided at the university level as an integrated part of devel ...