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is his webpage at https://speech.ee.ntu.edu.tw/~hylee/index.php -- he is a rising star in Machine Learning. He visited the lab, gave a talk and is available for disussion. You can download an watch the talk
Section: FB3
modelling and generation of individual players in video games. The method, which uses various machine learning approaches to reflect the strategies and preferences of individual players in computer opponents
Join us as our very own Maria Grandury, herself a Machine Learning Research Engineer, interviews Sandra Hernandez, Systems Engineer at NASA JPL, and Mihaela Popescu, Research Assistant at DFKI (German
always had a great interest in working with astronomical data. Insofar she is interested in machine learning methods to analyze astronomical data and software applications that combine artificial and human
test run in direct cooperation with Deutsche Bahn and to set up their own startup. If you want to learn more about the Challenge or participate directly, you can find the complete Challenge Briefing on
reality exposure therapy". Serious games have long been studied in HCI for their potential to support learning, behavioral change, motivation to exercise and many other areas beyond entertainment. One such area
Hochgeschwender works on the development and application of cognitive robots that are capable of learning, can collaborate with humans, and are able to make autonomous decisions in complicated environments
discusses topics relevant to both theoretical and practical applications of dynamics, such as machine learning, bifurcation theory, dynamics and geometry, nonlinear waves, computational methods and medicine
Faculty of Mathematics / Computer Science won over the jury with their concept for joint teaching and learning. In the “Participative Teaching” category, they were honored for the module “Participative Methods [...] ideas and got them to a point where they were nearly market ready with the help of research-based learning cycles. The students were impressed that they had contact to potential customers. Moreover, they
ersten Platz sicherten sich Enno Röhrig, Bernd Poppinga und Jianyu Guan unter dem Teamnamen „SoDeepNotLearning“, gefolgt vom Team „InsiderTraining“ Marlon Flügge, Tilman Ihrig und Merlin Burri, dem Team „Trisol“ [...] Jörg Lücke von der Universität Oldenburg mit seinem Keynote-Vortrag zum Thema „Probabilistic Big Learning for Elementary and Complex Data Models“. Die Organisatoren vom CSL gratulieren allen Preisträgern