Zobrazeno 1 - 10
of 9 003
pro vyhledávání: '"Lars M"'
Autor:
Groll, Andreas, Hvattum, Lars M., Ley, Christophe, Sternemann, Jonas, Schauberger, Gunther, Zeileis, Achim
In this work, three fundamentally different machine learning models are combined to create a new, joint model for forecasting the UEFA EURO 2024. Therefore, a generalized linear model, a random forest model, and a extreme gradient boosting model are
Externí odkaz:
http://arxiv.org/abs/2410.09068
The motivation of this paper is to recognize a geometric shape from a noisy sample in the form of a point cloud. Inspired by the HDBSCAN clustering algorithm, we introduce the core dissimilarity, from which we construct the core bifiltration. We also
Externí odkaz:
http://arxiv.org/abs/2405.01214
Autor:
Ankel, Martin, Jonsson, Robert S., Tholen, Mats, Bryllert, Tomas, Ulander, Lars M. H., Delsing, Per
Publikováno v:
2023 20th European Radar Conference (EuRAD) (pp. 213-216). IEEE
In this article, the effect a moving target has on the signal-to-interference-plus-noise-ratio (SINR) for high time-bandwidth noise radars is investigated. To compensate for cell migration we apply a computationally efficient stretch processing algor
Externí odkaz:
http://arxiv.org/abs/2405.01023
Autor:
Ziegler, Anita L., Manchanda, Ashutosh, Stumm, Marc-Daniel, Blank, Lars M., Mitsos, Alexander
Constraint-based optimization of microbial strains and model-based bioprocess design have been used extensively to enhance yields in biotechnological processes. However, strain and process optimization are usually carried out in sequential steps, cau
Externí odkaz:
http://arxiv.org/abs/2401.16188