| 
   ⇤ ← 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