Seminar on Internet Technologies (Winter 2016/2017): Difference between revisions

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| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| Take a look at related papers in well known conferences/workshops/journals, e.g., [http://www.ccsb.dfci.harvard.edu/web/export/sites/default/ccsb/publications/papers/2010/Song--Barabasi_NatPhysics_10.pdf]  
| Take a look at related papers in well known conferences/workshops/journals, e.g., [http://www.ccsb.dfci.harvard.edu/web/export/sites/default/ccsb/publications/papers/2010/Song--Barabasi_NatPhysics_10.pdf]  
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| '''Learning from Imbalanced Data (assigned to Oleh Astappiev)'''   
| '''Learning from Imbalanced Data (assigned to Oleh Astappiev)'''   
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| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
|-|}
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| '''Deep Learning and its (possible) flaws  (assigned to Sven Voigt)''' 
One recent trend in machine learning is 'deep learning', where neural networks are employed for solving a wide range of problems. One prominent example of such problems is image classification. While neural networks are in fact delivering sometimes great results, they may also have some weak spots. In this work, your task is to i) make yourself familiar with neural networks, ii) discuss the state-of-the-art in image classification, and iii) to investigate some possible flaws in neural networks. Note that for this topic a background in data science, and in particular in classification algorithms, is strongly recommended. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://arxiv.org/abs/1404.7828]
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| '''How do self-driving cars work? (assigned)''' 
The topic title is pretty self-explanatory :)
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://cs.stanford.edu/people/teichman/papers/iv2011.pdf]
|-}


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