Computational social choice is an interdisciplinary eld of study at the interface of social choice theory and computer science, with knowledge owing in either direction. On the o...
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
The Dagstuhl Seminar Similarity-based Clustering and its Application to Medicine and Biology (07131) held in March 25–30, 2007, provided an excellent atmosphere for in-depth disc...
Abstract. The analysis of complex signals as obtained by mass spectrometric measurements is complicated and needs an appropriate representation of the data. Thereby the kind of pre...