Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
— Since sequential patterns may exist in multiple sequence databases, we propose algorithm PropagatedMine+ to efficiently discover multi-domain sequential patterns. Prior works ...
In this study a self-steering beamformer with binaural output for a head-worn microphone array is investigated in simulated and realworld conditions. The influence of the underly...
Thomas Rohdenburg, Stefan Goetze, Volker Hohmann, ...
Abstract. Constraint propagation is one of the techniques central to the success of constraint programming. Fast algorithms are used to prune the search space either before or duri...
This paper presents an experimental study of constraint propagation algorithms for preemptive scheduling. We propose generalizations of non-preemptive constraint propagation techni...