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Wurth, Jonathan
29  Ergebnisse:
Personensuche X
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1

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/..
 
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2

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/..
 
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3

Fast, Flexible, and Fearless: A Rust Framework for the Modu..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Wurth, Jonathan ; Stegherr, Helena ; Heider, Michael.. - p. 1900-1909 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Developing Distributed High-performance Computing Capabilit..:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Collier, Nicholson ; Wozniak, Justin M. ; Stevens, Abby... - p. 868-877 , 2023
Link: https://doi.org/10.1109/..
 
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5

Discovering rules for rule-based machine learning with the ..:

Heider, Michael ; Stegherr, Helena ; Pätzel, David...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/109780.  , 2023
Link: https://opus.bibliothek...
 
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6

Developing Distributed High-performance Computing Capabilit..:

Collier, Nicholson ; Wozniak, Justin M ; Stevens, Abby...
http://arxiv.org/abs/2304.14244.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

A framework for modular construction and evaluation of meta..:

Stegherr, Helena ; Luley, Leopold ; Wurth, Jonathan..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/103452.  , 2023
Link: https://opus.bibliothek...
 
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8

Separating rule discovery and global solution composition i..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan.. - p. 248-251 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Investigating the Impact of Independent Rule Fitnesses in a..:

, In: Lecture Notes in Computer Science; Bioinspired Optimization Methods and Their Applications,
Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan.. - p. 142-156 , 2022
Link: https://doi.org/10.1007/..
 
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10

Comparing different metaheuristics for model selection in a..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Wurth, Jonathan ; Heider, Michael ; Stegherr, Helena.. - p. 316-319 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Supervised Rule-based Learning System (SupRB):

Heider, Michael ; Wurth, Jonathan ; Sraj, Roman
doi:10.5281/zenodo.5961222.  , 2022
Link: https://zenodo.org/recor..
 
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12

Investigating the impact of independent rule fitnesses in a..:

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/103973.  , 2022
Link: https://opus.bibliothek...
 
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13

Comparing different metaheuristics for model selection in a..:

Wurth, Jonathan ; Heider, Michael ; Stegherr, Helena..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/97477.  , 2022
Link: https://opus.bibliothek...
 
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14

SupRB: The Supervised Rule-based Learning System:

Heider, Michael ; Wurth, Jonathan ; Sraj, Roman-Alexander
https://github.com/heidmic/suprb/tree/0.1.2.  , 2022
Link: https://zenodo.org/recor..
 
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15

Metaheuristic Optimizers for Solution Composition in SupRB2:

Wurth, Jonathan ; Heider, Michael
doi:10.5281/zenodo.5961303.  , 2022
Link: https://zenodo.org/recor..
 
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