Session | ||
S25.01: Various topics in Computational and mathematical methods in data science
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Presentations | ||
8:30am - 8:50am
On the approximation of vector-valued functions by samples 1EPFL, Switzerland; 2University of Augsburg 8:50am - 9:10am
Learning stochastic reduced order models from data 1University of Potsdam; 2Martin Luther University Halle-Wittenberg 9:10am - 9:30am
A time-aware tensor decomposition for concept evolution 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 University of Duisburg-Essen 9:50am - 10:10am
On Efficient and Accurate Kernel-Based Interpolation/Regression for Dynamic Datasets Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg |