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The lecture will cover several advanced topics in machine learning based on the fundamental methods and techniques covered in the lecture Machine Learning. Prospective topics are

1. fast learning algorithms for SVMs and logistic regression,
2. factorization methods,
3. time series / sequence labeling,
4. time series / sequence classification,
5. structured prediction,
6. relational learning.

Dozent: Prof. Dr. Dr. Lars Schmidt-Thieme
Übungen: Zeno Gantner