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Theory of Evidence in Active Learning
- Prelegent(ci)
- Daniel Kałuża
- Afiliacja
- MIMUW
- Termin
- 22 października 2021 14:15
- Informacje na temat wydarzenia
- 5820 and online meet.google.com/jbj-tdsr-aop
- Seminarium
- Seminarium badawcze „Systemy Inteligentne”
Dempster-Shafer theory of evidence allows to express both: alloteric uncertainty of a sample and epistemic uncertainty of the model. This information can become a base for efficient active learning algorithms. I will start with a demonstration of intuition behind the belief functions and basics of evidence theory. Then, I will discuss the state of the art algorithms for deep active learning related to the Dempster-Shafer theory. Finally, I will share my ideas for future research.
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Plan wystąpień w tej edycji jest dostępny tutaj
The schedule of presentations can be checked here
