Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
—A common simplification in the treatment of random linear channels is the assumption of stationarity of the channel in time. The wireless channel is, however, known to be inher...
Adrian Ispas, Gerd Ascheid, Christian Schneider, R...
Virtual reality (VR) technology has the potential to provide unique perspectives of data that are not possible with standard desktop hardware. The tracking devices often found wit...
Roger V. Hoang, Joshua Hegie, Frederick C. Harris ...
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...