6 citations · 11 across the 3 of their papers we have counts for
3 papers
Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition
Kseniya Akhalaya, Franziska Nestler, Daniel Potts
Support Vector Machines (SVMs) are an important tool for performing classification on scattered data, where one usually has to deal with many data points in high-dimensional spaces…
Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication
Franziska Nestler, Martin Stoll, Theresa Wagner
Kernel matrices are crucial in many learning tasks such as support vector machines or kernel ridge regression. The kernel matrix is typically dense and large-scale. Depending on th…
Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P2NFFT method
Rudolf Weeber, Franziska Nestler, Florian Weik +3
Magnetic gels are soft elastic materials consisting of magnetic particles embedded in a polymer network. Their shape and elasticity can be controlled by an external magnetic field,…