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Recent Research Topics in Data Analysis, Privacy and Machine Learning

Recent Research Topics in Data Analysis, Privacy and Machine Learning
Typ: Seminar (S)
Semester: WS 19/20
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
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