1 code implementation • 1 Dec 2023 • Theresa Wagner, John W. Pearson, Martin Stoll
In this paper we consider the numerical solution to the soft-margin support vector machine optimization problem.
no code implementations • 11 Nov 2019 • Konstantin Rusch, John W. Pearson, Konstantinos C. Zygalakis
The key benefit of this approach is that the corresponding RNN inherits the favorable long time properties of the Hamiltonian system, which in turn allows us to control the hidden states gradient with a hyperparameter of the Hamiltonian RNN architecture.