In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
The poster introduces EXPLAIN, a project funded by the German Federal Ministry of Economy and Technology. The vision of EXPLAIN is to reduce efforts for content projects by means o...
Pavlina Chikova, Katrina Leyking, Peter Loos, Gunn...
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Evaluation is one of the most important activities in the didactic materials development since it allows developers to check if the properties of obtained material satisfy all the...
In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...