We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
: Multimedia networking in the near future is expected to be dominated by group applications such as IPTV, MMORPGs, and video conferencing. Hand in hand with new service offers, th...
: To enhance users' social embedding within learning networks, we propose to establish ad hoc transient communities. These communities serve a particular goal, exist for a lim...
Adriana J. Berlanga, Peter B. Sloep, Liesbeth Kest...
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...