The large scale adoption of adaptive services in pervasive and mobile computing is likely to be conditioned to the availability of reliable privacy-preserving technologies. Unfort...
We propose a method that we call auto-adaptive convolution which extends the classical notion of convolution in pictures analysis to function analysis on a discrete set. We define...
In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve leaning an...
Maria Grigoriadou, Evangelia Gouli, Agoritsa Gogou...
Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here ...