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| || Date ||TBD|| | || Date ||<#FF0000> First meeting: '''Thursday 9.6.2016 14-16''', Presentation: '''Friday 15.7.2016 14-18'''|| |
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| * Scalable Bayesian Learning | |
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| * Matrix/Tensor Analysis * Data screening * Compressed domain analysis |
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[[attachment:PaperList.pdf]] Each student should choose a paper from a list on '''9.6.2016''', on which he/she will give a presentation on '''15.7.2016'''. |
Seminar “Machine Learning and Data Management”
Date |
First meeting: Thursday 9.6.2016 14-16, Presentation: Friday 15.7.2016 14-18 |
Room |
MAR 4.033 |
Trainers |
Shinichi Nakajima |
Contact |
|
Credits |
3 ECTS, Elective in the M.Sc. module "Machine Learning II" |
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
- Scalable Bayesian Learning
- Random features
- Optimization
- Stochastic/online methods
- Boosting
Each student should choose a paper from a list on 9.6.2016, on which he/she will give a presentation on 15.7.2016.