Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
S25.01: Various topics in Computational and mathematical methods in data science
Time:
Tuesday, 19/Mar/2024:
8:30am - 10:30am

Session Chair: Max Pfeffer
Location: G22/H2

Lecture Hall 2 in Building 22; size: 148

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Presentations
8:30am - 8:50am

On the approximation of vector-valued functions by samples

D. Kressner1, T. Ni1, A. Uschmajew2

1EPFL, Switzerland; 2University of Augsburg



8:50am - 9:10am

Learning stochastic reduced order models from data

M. A. Freitag1, J. M. Nicolaus1, M. Redmann2

1University of Potsdam; 2Martin Luther University Halle-Wittenberg



9:10am - 9:30am

A time-aware tensor decomposition for concept evolution

C. Chatzis1,2, C. Schenker1, M. Pfeffer3, P. Lind2, E. Acar1

1Simula Metropolitan Center for Digital Engineering AS, Norway; 2Oslo Metropolitan University; 3University of Göttingen



9:30am - 9:50am

A novel univariate feature selection filter-measure based on the reduction of class overlapping

J. C. Liaw, F. Geu Flores

University of Duisburg-Essen



9:50am - 10:10am

On Efficient and Accurate Kernel-Based Interpolation/Regression for Dynamic Datasets

H. Kapadia, L. Feng, P. Benner

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg



 
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