Surrogate-Assisted Learning of Neural Networks

By Jörg Stork, Martin Zaefferer, Andreas Fischbach, Frederik Rehbach, Thomas Bartz-Beielstein. 2017

7 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jörg Stork
2. Martin Zaefferer
3. Thomas Bartz-Beielstein
4. Frank Hutter
5. Holger H. Hoos
6. Handing Wang
7. Changwu Huang
8. Kevin Leyton-Brown

Citations in the corpus

• Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels (2019, background): “, for optimization of fixed neural network topologies in reinforcement learning [10].”