general
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* To foster wider use of ML technologies in data driven space research, demonstrate ML capabilities and generate a wider discussion on further possible applications of ML | * To foster wider use of ML technologies in data driven space research, demonstrate ML capabilities and generate a wider discussion on further possible applications of ML | ||
- | The goal is to build a multipurpose toolset for ML-based data analysis that will be applicable to a range of scientific research questions in planetary science with minor or easily-achievable customization efforts. We will provide both, trained as well as ML code, all of which will be free to use and to be adapted by the user. The term "ML tool" refers in our case to ML codes, notebooks, or trained models, with which data can be analyzed. Applying our tools to data will result in (high-level and derived) data products, which will be made available via VESPA, together with the original data. | + | The goal is to build a multipurpose toolset for ML-based data analysis that will be applicable to a range of scientific research questions in planetary science with minor or easily-achievable customization efforts. We provide both, trained |
- | The tools will be shared and made accessible to the wider planetary science community through this webpage, the ML Portal, and our [[https:// | + | The tools are shared and made accessible to the wider planetary science community through this webpage, the ML Portal, and our [[https:// |
===== Methodology ===== | ===== Methodology ===== | ||
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A careful assessment of these [[: | A careful assessment of these [[: | ||
- | Furthermore, | + | Furthermore, |
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+ | ===== Timeline ===== | ||
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+ | We plan to have applicable and working ML tools for all of our science cases at the end of the workpackage, | ||
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+ | The integration of the data sets and the data products of the first science cases (the [[: | ||
general.1629716373.txt.gz · Last modified: 2021/08/23 12:59 by admin