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Optimization and Machine Learning Sommersemester 2021, 6 CP 03-M-SEM-24 This seminar focusses on recent research at the interplay of combinatorial optimization and machine learning. Both fields provide important [...] we study how machine learning techniques can improve well-established solution methods for NP-hard discrete optimization problems. How can untrusted prediction, e.g., machine-learned, be used to derived [...] algorithms? How can machine learning accelerate existing optimization methods? On the other hand, combinatorial optimization problems are increasingly important in machine learning. We will study particular
Section: FB3
files from mobile screen recordings. The approach utilizes methods of computer vision and machine learning to automatically process screen recordings and extend their use. Screen recordings reveal virtually [...] education and show how log files of screen recordings can complement and extend existing research in learning analytics. This thesis opens up novel perspectives on how we can look at human-computer interaction
onal structure by Deep Learning approaches and to identify them for the subsequent numerical simulation. The focus here is on stability analysis in addition to machine learning (ML) approaches.
space systems is the mechanical design of the components. In recent years, the disciplines of deep learning (DL), computer-aided engineering (CAE), and 3D printing have emerged across disciplines as three [...] means a kilogram more payload. The WG Industrial Mathematics is responsible for the subproject Deep Learning for geometry generation of mechanical components in this joint project.
build, play, hack, share, learn and have fun! It’s not all about creating finished products, it’s about sharing your ideas with other participants, building inspiring hacks, learning from each other and just
estimate. This is where the project Arthrokinemat comes in which concerns the "Development of a learning, adaptive, sensor-based measurement system to prevent arthrosis activation when the knee joint is [...] in terms of visual, acoustical and tactile output. As soon as the load exceeds an automatically learned individual threshold, the Arthrokinemat warns its users and thus protects them from stress-induced
University of Örebro for his outstanding achievements in the fields of artificial intelligence, machine learning and robotics. Michael Beetz has made an international name for himself with his research in the [...] University of Bremen. The IAI conducts research on automated control methods for robots. They should learn to implement abstract instructions independently and thus become everyday helpers. Another important
de Tel: +49 (0)421 218-64419 Google Scholar ORCiD Research Interests Data processing with machine learning infrastructures for explorative data analysis processing of astronomical data usability in scientific [...] has always had a great interest in working with astronomical data. She is interested in machine learning methods to analyze astronomical data and software applications that combine artificial and human
local contributions, we present a colorful spectrum of research highlights from Bremen and "umzu". Learn on site how scientific collaboration between different disciplines contributes to a deeper understanding
bulletin issue (No. 19). The BBDC is a yearly stundent challenge in the field of big data and machine learning organized by CSL. The text is published here: http://www.dagstat.de/fileadmin/bulletins/DAGStat