Recent Research Topics in Data Analysis, Privacy and Machine Learning
- Typ: Seminar (S)
- Semester: WS 19/20
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Zeit:
Kickoff-Meeting
Dienstag, 22. Oktober 14:00 - 15:30 Uhr,
Raum 348 (3. Stock)
50.34 Informatik, Kollegiengebäude am Fasanengarten -
Dozent:
Prof. Dr.-Ing. Klemens Böhm
Dr. Martin Schäler
Jakob Bach
Christine Tex
Vadim Arzamasov
Adrian Englhardt - LVNr.: 2400115
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Hinweis:
Anmeldung per E-Mail an sekretariat.boehm@ipd.kit.edu oder durch Eintragen in die Listen im Sekretariat Prof. Böhm.
Vorläufige Themenliste:
- Diversity in test data generation
- Sampling reduction methods for one-class classifiers
- No-Free-Lunch Theorems in Machine Learning
- Estimating Maximum Model Performance
- Support vector machine active learning
- Decision trees and Random forests active learning
- (Pedagogical) Rule extraction
- Differentially private database indices for answering range queries
- Differentially privacy statistics on dynamic databases