Institutsseminar/2022-06-03 Zusatztermin

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Termin (Alle Termine)
Datum Fr 3. Juni 2022, 11:30 Uhr
Dauer 45 min
Ort Raum 348 (Gebäude 50.34)
Vorheriger Termin Fr 20. Mai 2022
Nächster Termin Fr 24. Juni 2022


Vortragende(r) Tobias Haßberg
Titel Development of an Active Learning Approach for One Class Classifi cation using Bayesian Uncertainty
Vortragstyp Masterarbeit
Betreuer(in) Bela Böhnke
Vortragsmodus in Präsenz
Kurzfassung In One-Class classification, the classifier decides if points belong to a specific class. In this thesis, we propose an One-Class classification approach, suitable for active learning, that models for each point, a prediction range in which the model assumes the points state to be. The proposed classifier uses a Gaussian process. We use the Gaussian processes prediction range to derive a certainty measure, that considers the available labeled points for stating its certainty. We compared this approach against baseline classifiers and show the correlation between the classifier's uncertainty and misclassification ratio.
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