Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Pätzel, David
63  Ergebnisse:
Personensuche X
?
1

A Closer Look at Length-niching Selection and Spatial Cross..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Nordsieck, Richard ; Hähner, Jörg - p. 1779-1787 , 2024
Link: https://dl.acm.org/doi/1..
 
?
2

Measuring Similarities in Model Structure of Metaheuristic ..:

, In: Lecture Notes in Computer Science; Applications of Evolutionary Computation,
Pätzel, David ; Nordsieck, Richard ; Hähner, Jörg - p. 256-272 , 2024
Link: https://doi.org/10.1007/..
 
?
3

Length-niching Selection and Spatial Crossover in Variable-..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Pätzel, David ; Nordsieck, Richard ; Hähner, Jörg - p. 303-306 , 2024
Link: https://dl.acm.org/doi/1..
 
?
4

Deep Q-Network Updates for the Full Action-Space Utilizing ..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
von Pilchau, Wenzel Pilar ; Patzel, David ; Stein, Anthony. - p. 1-9 , 2023
Link: https://doi.org/10.1109/..
 
?
5

SupRB in the context of rule-based machine learning methods..:

Heider, Michael ; Stegherr, Helena ; Sraj, Roman...
Applied Soft Computing.  147 (2023)  - p. 110706 , 2023
Link: https://doi.org/10.1016/..
 
?
6

Discovering Rules for Rule-Based Machine Learning with the ..:

Heider, Michael ; Stegherr, Helena ; Pätzel, David...
SN Computer Science.  4 (2023)  6 - p. , 2023
Link: https://doi.org/10.1007/..
 
?
7

Weighted Mutation of Connections To Mitigate Search Space L..:

, In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms,
Cui, Henning ; Pätzel, David ; Margraf, Andreas. - p. 50-60 , 2023
Link: https://dl.acm.org/doi/1..
 
?
8

Towards Principled Synthetic Benchmarks for Explainable Rul..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Pätzel, David ; Heider, Michael ; Hähner, Jörg - p. 1657-1662 , 2023
Link: https://dl.acm.org/doi/1..
 
?
9

A Learning Classifier System for Automated Test Case Priori..:

Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony.
SN Computer Science.  3 (2022)  5 - p. , 2022
Link: https://doi.org/10.1007/..
 
?
10

Correction: A Learning Classifier System for Automated Test..:

Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony.
SN Computer Science.  3 (2022)  6 - p. , 2022
Link: https://doi.org/10.1007/..
 
?
11

A Metaheuristic Perspective on Learning Classifier Systems:

, In: Computational Intelligence Methods and Applications; Metaheuristics for Machine Learning,
Heider, Michael ; Pätzel, David ; Stegherr, Helena. - p. 73-98 , 2022
Link: https://doi.org/10.1007/..
 
?
12

An overview of LCS research from 2021 to 2022:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Heider, Michael ; Pätzel, David ; Wagner, Alexander R. M. - p. 2086-2094 , 2022
Link: https://dl.acm.org/doi/1..
 
?
13

The Bayesian learning classifier system : implementation..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference,
Pätzel, David ; Hähner, Jörg - p. 413-421 , 2022
Link: https://dl.acm.org/doi/1..
 
?
14

An Organic Computing System for Automated Testing:

, In: Lecture Notes in Computer Science; Architecture of Computing Systems,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 135-149 , 2021
Link: https://doi.org/10.1007/..
 
?
15

Transfer Learning for Automated Test Case Prioritization Us..:

, In: Lecture Notes in Computer Science; Applications of Evolutionary Computation,
Rosenbauer, Lukas ; Pätzel, David ; Stein, Anthony. - p. 681-696 , 2021
Link: https://doi.org/10.1007/..
 
1-15