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||'''Lecture'''|| ||
||'''Room'''|| ||
||'''Exercise session'''|| ||
||'''Room'''|| ||
||'''Lecture period'''|| from 18.04.2016 to 23.07.2016 ||
||'''Lecture'''|| Tuesday 10:15-12:00 ||
||'''Room'''|| MAR 4.064 ||
||'''Exercise session'''|| Tuesday 12:15-14:00 ||
||'''Room'''|| MAR 4.064 ||
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|| '''ISIS''' || || || '''ISIS''' || https://isis.tu-berlin.de/course/view.php?id=7155 ||

Maschinelles Lernen - Theorie und Anwendung

General Information

Maschinelles Lernen - Theorie und Anwendung is a 9 LP (9 ECTS) credits module.

Lecture period

from 18.04.2016 to 23.07.2016

Lecture

Tuesday 10:15-12:00

Room

MAR 4.064

Exercise session

Tuesday 12:15-14:00

Room

MAR 4.064

Trainers

Prof. Dr. Klaus-Robert Müller (Responsible)

Gregoire Montavon

Contact

gregoire.montavon@tu-berlin.de

ISIS

https://isis.tu-berlin.de/course/view.php?id=7155

Topics

  • Embedding
  • Stationary Subspace Analysis
  • Auto-encoders
  • Canonical Correlation Analysis
  • Kernel methods for structured data
  • Neural networks for structured data
  • Structured output learning
  • One-class SVMs
  • Bioinformatics

IDA Wiki: Main/SS16_MaschinellesLernen2 (last edited 2016-04-19 20:02:34 by GrégoireMontavon)