We describe the goals and architecture of a new framework that aims at facilitating the deployment of adaptation services running on intermediate edge servers. The main goal is to...
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
What does it mean for two geometric graphs to be similar? We propose a distance for geometric graphs that we show to be a metric, and that can be computed by solving an integer li...
Otfried Cheong, Joachim Gudmundsson, Hyo-Sil Kim, ...
Abstract. Bulk Synchronous Parallel ML or BSML is a functional dataparallel language for programming bulk synchronous parallel (BSP) algorithms. The execution time can be estimated...
We prove that TAUT has a p-optimal proof system if and only if a logic related to least fixed-point logic captures polynomial time on all finite structures. Furthermore, we show ...