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250135 VO Reproducing Kernels and Learning (2018S)

7.00 ECTS (4.00 SWS), SPL 25 - Mathematik

Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Monday 05.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 07.03. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 14.03. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 19.03. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 21.03. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 11.04. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 16.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 18.04. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 25.04. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 30.04. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 02.05. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 07.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 09.05. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 14.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 16.05. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 23.05. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 28.05. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 30.05. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 04.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 06.06. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 11.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 13.06. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 18.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 20.06. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Monday 25.06. 16:45 - 18:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 27.06. 17:15 - 18:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

This lecture provides a mathematical view on kernel based learning algorithms. We shall study the concept of reproducing kernels and their Hilbert spaces with a special focus on zonal kernels. We then discuss their use in approximation and learning algorithms.

Assessment and permitted materials

oral or written exam

Minimum requirements and assessment criteria

Analysis, Linear Algebra.
Knowledge in Numerical Analysis, Functional Analysis, and Fourier Analysis are beneficial.

Examination topics

All topics covered in the lecture

Reading list

- Holger Wendland: Scattered Data Approximation
- Bernhard Schölkopf, Alexander J. Smola: Learning with Kernels - Support Vector Machines, Regularization, Optimization, and Beyond

Association in the course directory

MANV, MAMV

Last modified: Mo 07.09.2020 15:40