This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Over the last decade a wide range of publish/subscribe (pub/ sub) systems have come out of the research community. However, there is little consensus on a common pub/sub API, whic...
Peter R. Pietzuch, David M. Eyers, Samuel Kounev, ...
This paper explores the cognitive limits of estimation in the context of software cost estimation. Two heuristics, representativeness and anchoring, motivate two experiments invol...
This paper gives an overview over the progress that has been made by the Heidelberg FPTA group within the field of analog evolvable hardware. Achievements are the design of a CMOS...
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...