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From version < 8.1 >
edited by Maximilian Kasperowski
on 2022/10/06 11:44
To version < 9.1 >
edited by Maximilian Kasperowski
on 2022/10/06 12:01
>
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10 10  
11 11  Graphs are complex feature vectors and the solution space is very large without necessarily one correct and optimal answer. Therefore, a machine learning (ML)-based approach may help find good solutions.
12 12  
13 -This topic will be supervised in cooperation with the [[Intelligent Systems>>url:https://www.ins.informatik.uni-kiel.de/en||shape="rect"]] group.
14 -
15 15  == Example Top-down Layout of an SCChart ==
16 16  
17 17  [[image:attach:Controller_topdown_v3.png]]
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42 42  
43 43  = Supervised by =
44 44  
45 -Maximilian Kasperowski
43 +Maximilian Kasperowski in cooperation with the [[Intelligent Systems>>url:https://www.ins.informatik.uni-kiel.de/en||shape="rect"]] group.
46 46  
47 47  mka@informatik.uni-kiel.de
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1 -136183954
1 +136183955
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1 -https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/136183954/A Machine Learning Approach for Node Size Approximation in Top-down Layout
1 +https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/136183955/A Machine Learning Approach for Node Size Approximation in Top-down Layout