We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
This paper describes the design, development and qualitative evaluation of a web-based personalized assessment service of an object–oriented programming course at the University...
Ocsigen is a framework for programming highly dynamic web sites in Objective Caml. It allows to program sites as Ocaml applications and introduces new concepts to take into accoun...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...