Review of dependency estimation with focus on data efficiency: Unterschied zwischen den Versionen
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|kurzfassung= | |kurzfassung=In our data-driven world data analysis is very important. Therefore dependency estimation is an important tool to get more insight into our data. In this study, I will do a comparison of different state-of-the-art dependency estimation algorithms. I will compare them regarding a list of different criteria and focus on data efficiency and uncertainty of the estimation. | ||
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Version vom 25. November 2021, 09:52 Uhr
Vortragende(r) | Maximilian Georg | |
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Vortragstyp | Proposal | |
Betreuer(in) | Bela Böhnke | |
Termin | [[Institutsseminar/2022-01-07|]] | |
Vortragsmodus | ||
Kurzfassung | In our data-driven world data analysis is very important. Therefore dependency estimation is an important tool to get more insight into our data. In this study, I will do a comparison of different state-of-the-art dependency estimation algorithms. I will compare them regarding a list of different criteria and focus on data efficiency and uncertainty of the estimation. |