Kai Gersmann - Dokumente zum Namen - alle Infos bei Yasni.de

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understanding the role of nonlinearity in training dynamics ...arXiv

arxiv.org

von Y Tian · · Zitiert von: 5 — Expressivity of deep neural networks. arXiv preprint arXiv: , Barbara Hammer and Kai Gersmann. A note on the universal ...

A Note on the Universal Approximation ACM Digital Librarydl.acm.org › doi

dl.acm.org

Kai Gersmann. LNM, Department of Mathematics/Computer Science, Universität Osnabrück, Germany. -osnabrueck.de.

Constraint-Guided Machine Learning for Solving Optimal ...UWSpace

uwspace.uwaterloo.ca

von A Lotfi · — Proceedings of the IEEE, 105(12):2295– , [46] Barbara Hammer and Kai Gersmann. A note on the universal approximation capa- bility of ...

Embedded Neural Networks in Resource-Constrained ...DTU Research Database

orbit.dtu.dk

von Z Jelcicová · — [27] Barbara Hammer and Kai Gersmann. “A Note on the Universal Approxi- mation Capability of Support Vector Machines”. In: Neural Processing.

Katharina Tluk v. Toschanowitz, Barbara Hammer and ...Scribd

www.scribd.com

Kai Gersmann and Barbara Hammer- Improving iterative repair strategies for scheduling with the SVM. Grettsz. Marc Strickert, Barbara Hammer and Sebastian ...

Learning-driven optimization approaches for combinatorial ...HAL Thèses

theses.hal.science

von Y Zhou · — [Gersmann and Hammer, 2005] Kai Gersmann and Barbara Hammer. Improving iterative repair strategies for scheduling with the SVM.

Low Latency Machine Learning on FPGAs - phwlphwl.org

phwl.org

von S Tridgell · · Zitiert von: 9 — [28] Barbara Hammer and Kai Gersmann. “A note on the universal approximation capability of support vector machines”. von N FRASER · — Hammer, Barbara and Kai Gersmann (2003). “A note on the universal approximation capability of support vector machines”.