Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformati...
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...
Published as Technical Report LU-CS-TR:2005-238 on February 13, 2006, ISSN 1650-1276 Report 158, Lund University, Sweden 2006 We discuss and compare four fixed parameter algorithm...
Magdalene G. Borgelt, Christian Borgelt, Christos ...
A new control algorithm for the multiplane baseline switching network is proposed in this paper. This algorithm chooses a plane for a new connection in such a way that this new con...