Institutsseminar/2022-06-03 Zusatztermin
Datum | Freitag, 3. Juni 2022 | |
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Uhrzeit | 11:30 – 12:15 Uhr (Dauer: 45 min) | |
Ort | Raum 348 (Gebäude 50.34) | |
Webkonferenz | https://kit-lecture.zoom.us/j/67744231815 | |
Vorheriger Termin | Fr 20. Mai 2022 | |
Nächster Termin | Fr 24. Juni 2022 |
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Vorträge
Vortragende(r) | Tobias Haßberg |
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Titel | Development of an Active Learning Approach for One Class Classifi cation using Bayesian Uncertainty |
Vortragstyp | Masterarbeit |
Betreuer(in) | Bela Böhnke |
Vortragssprache | |
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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