⇤ ← Revision 1 as of 2016-01-26 13:17:12
Size: 696
Comment:
|
Size: 818
Comment:
|
Deletions are marked like this. | Additions are marked like this. |
Line 7: | Line 7: |
||'''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 || |
Line 14: | Line 15: |
|| '''ISIS''' || || | || '''ISIS''' || TBD || |
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 |
|
ISIS |
TBD |
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