Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
The problem of network bundwidth limitutions is encountered in ulmost uny distributed virtuul environment or networkedgume. In U typicul client-serversetup, where the virtuul worl...
Chris Faisstnauer, Dieter Schmalstieg, Werner Purg...
Since its beginning, simulation has been used to study complex systems in order to infer on their future behavior, in this field several applications have been made using it as of...
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...