: The use of Open-Learner Modelling (OLM) within Intelligent Learning Environments is becoming more common. By allowing learners a greater control over their learning experience, O...
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
For compression of 3-D dynamic meshes, the novel framework of so-called frame-based animated mesh compression (FAMC) has been introduced recently. In this context, we propose an e...
Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghostin...