Maschinelles Lernen - Theorie und Anwendung
General Information
Maschinelles Lernen - Theorie und Anwendung is a 9 LP (9 ECTS) credits module.
Lecture period |
from 20.04.2017 to 20.07.2017 |
Lecture |
Thursday 10:15-12:00 in MAR 0.011 |
Exercise session |
Thursday 12:15-14:00 in MAR 0.011 |
Trainers |
Prof. Dr. Klaus-Robert Müller (Responsible) |
Gregoire Montavon |
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Contact |
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ISIS |
TBD |
Topics
- Embeddings
- Stationary Subspace Analysis
- Independent Component Analysis
- Canonical Correlation Analysis
- Kernel methods for structured data
- Neural networks for structured data
- Unsupervised neural networks
- Structured output learning
- One-class SVMs
- Bioinformatics