Colloquia Computer Science/Mini-Symposium: Data analysis, learning and related topics

Colloquium Computer Science

Mini-Symposium: Data analysis, learning and related topics

Thursday, November 27, 13:00 - 17:00

Room 5161.0280 (Bernoulliborg, 280)

On the occasion of the PhD defense of Gert-Jan de Vries (Nov. 28), we organize a mini-symposium about

            Data analysis, learning and related topics

on Thursday the 27th of November.

Everybody is very welcome to attend the talks and join the discussions!

Tentative program, list of speakers and talks (30 min. + discussion)

12:59 Opening

13:00 Gyan Bhanot , Rutgers University, New Jersey, USA

      Proofs from the book: Gödel, Gauss and Cantor – the math

          they should teach in school

13:40 Joyce Westerink, Philips Research, Eindhoven, The Netherlands

        Triangulation and ground truths in stress research

14:20 Coffee break

14:40 Thomas Villmann, Univ. of Applied Sciences Mittweida, Germany

          Beyond accuracy – advanced classification by Learning Vector

          Quantization

15:20 Kristin Domaschke, Life Science Incubator, Dresden, Germany

          Classification of fluorescence spectra - first attempts in LVQ and

          beyond

16:00 Coffee break

16:20 Thomas Martinetz

        Adaptive hierarchical sensing

17:00 Closing