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| * Boosting On the first day (7.12), each student should choose a paper from a list, on which he/she will give a presentation in February. |
Seminar “Machine Learning and Data Management”
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Tuesdays 14.16 (The first day is 7.12.) |
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Room |
MAR 4.033 |
Trainers |
Shinichi Nakajima |
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Credits |
3 ECTS, Elective in the M.Sc. module "Machine Learning I" |
This is a joint research-oriented seminar of machine learning group and data management group. Students are required to present a selected topic.
Example topics are
- Parallel computation
- Hashing and sketches
- Random features
- Optimization
- Stochastic/online methods
- Matrix/Tensor Analysis
- Data screening
- Compressed domain analysis
- Boosting
On the first day (7.12), each student should choose a paper from a list, on which he/she will give a presentation in February.