— We present heuristic algorithms for pruning large sets of candidate paths or trajectories down to smaller subsets that maintain desirable characteristics in terms of overall re...
Michael S. Branicky, Ross A. Knepper, James J. Kuf...
An efficient on-chip infrastructure for memory test and repair is crucial to enhance yield and availability of SoCs. Therefore embedded memories are commonly equipped with spare r...
With the growing popularity of information retrieval (IR) in distributed systems and in particular P2P Web search, a huge number of protocols and prototypes have been introduced i...
Thomas Neumann, Matthias Bender, Sebastian Michel,...
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...