David Pätzel
Titel
Zitiert von
Zitiert von
Jahr
A survey of formal theoretical advances regarding XCS
D Pätzel, A Stein, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
122019
An algebraic description of XCS
D Pätzel, J Hähner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
42018
An overview of LCS research from IWLCS 2019 to 2020
D Pätzel, A Stein, M Nakata
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
XCS as a reinforcement learning approach to automatic test case prioritization
L Rosenbauer, A Stein, R Maier, D Pätzel, J Hähner
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
22020
SupRB: A Supervised Rule-based Learning System for Continuous Problems
M Heider, D Pätzel, J Hähner
arXiv preprint arXiv:2002.10295, 2020
22020
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations
M Heider, D Pätzel, J Hähner
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
12020
Transfer learning for automated test case prioritization using XCSF
L Rosenbauer, D Pätzel, A Stein, J Hähner
2021
XCSF with Experience Replay for Automatic Test Case Prioritization
L Rosenbauer, A Stein, D Pätzel, J Hähner
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1307-1314, 2020
2020
XCSF for automatic test case prioritization
L Rosenbauer, A Stein, D Pätzel, J Hähner
2020
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