Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Sraj, Roman
15  Ergebnisse:
Personensuche X
?
1

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/..
 
?
2

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/..
 
?
3

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..
 
?
4

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/..
 
?
5

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..
 
?
6

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...
 
?
7

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...
 
?
8

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...
 
?
9

Supervised Rule-based Learning System (SupRB):

Heider, Michael ; Wurth, Jonathan ; Sraj, Roman
doi:10.5281/zenodo.5961222.  , 2022
Link: https://zenodo.org/recor..
 
?
10

Approaches for rule discovery in a learning classifier syst..:

Heider, Michael ; Stegherr, Helena ; Pätzel, David...
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/104138.  , 2022
Link: https://opus.bibliothek...
 
?
11

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

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan..
http://arxiv.org/abs/2207.05582.  , 2022
Link: http://arxiv.org/abs/220..
 
?
12

Separating Rule Discovery and Global Solution Composition i..:

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan..
http://arxiv.org/abs/2202.01677.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

Separating rule discovery and global solution composition i..:

Heider, Michael ; Stegherr, Helena ; Wurth, Jonathan..
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/97476.  , 2022
Link: https://opus.bibliothek...
 
?
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..
 
?
15

SupRB: The Supervised Rule-based Learning System:

Heider, Michael ; Wurth, Jonathan ; Sraj, Roman-Alexander
https://github.com/heidmic/suprb/tree/0.1.1.  , 2022
Link: https://zenodo.org/recor..
 
1-15