Abstract. A review is provided of some database and representation issues involved in the implementation of geographic information systems (GIS). The increasing popularity of web-b...
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Abstract. Computational models that attempt to predict when a virtual human should backchannel are often based on the analysis of recordings of face-to-face conversations between h...
Abstract. We focus in this paper on passive traffic measurement techniques that collect traces of TCP packets and analyze them to derive, for example, round-trip times or aggregate...
Matti Siekkinen, Guillaume Urvoy-Keller, Ernst W. ...