Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis) - A2: Algorithmic aspects of learning methods in embedded systems (SFB 876)

Basic data for this project

Type of project: Project carried out outside the University of Münster

Duration at the University of Münster: 01/01/2011 - 31/12/2014 | 1st Funding period

Description

In this project we will investigate algorithmic foundations of learning methods in resource-constrained embedded systems. To model such systems, we will focus not only on standard complexity measures such as running time and space complexity but plan to consider also measures specific to embedded systems such as energy consumption or bandwidth. If applicable, our analyses shall aim at giving guarantees with respect to the quality of the computed solution. Ultimately, we hope to obtain general paradigms for designing efficient algorithm in resource-constrained embedded systems.

Keywords: Algorithms; Data Mining; Embedded Systems; Resource-efficiency

Website of the project: http://sfb876.tu-dortmund.de/index.html

Funding identifier: SFB 876 | DFG project number: 124020371

Funder / funding scheme:

DFG - Collaborative Research Centre (SFB)

Project management at the University of Münster

Vahrenhold, Jan

Professur für Praktische Informatik (Prof. Vahrenhold)

Research associates from the University of Münster

Temme, Sylvie