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Seminar on Internet Technologies (Winter 2018/2019): Difference between revisions
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Seminar on Internet Technologies (Winter 2018/2019) (view source)
Revision as of 11:14, 27 October 2018
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|{{Hl2}} |'''Initial Readings''' | |{{Hl2}} |'''Initial Readings''' | ||
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| '''The application of Recurrent neural network in Human mobility modeling (assigned to | | '''The application of Recurrent neural network in Human mobility modeling (assigned to Md Saiful Islam)''' | ||
| RNN/LSTM is one of the most widely used deep learning method, especially good at sequence modeling. Human mobility is a typical class of sequence data. So until now, what and how is RNN working in human mobility area, especially in online check-ins? It requires you reading 5-6 best papers in this fields. Understanding this question will help you know the basic concept, general problems and important approahces in this field. | | RNN/LSTM is one of the most widely used deep learning method, especially good at sequence modeling. Human mobility is a typical class of sequence data. So until now, what and how is RNN working in human mobility area, especially in online check-ins? It requires you reading 5-6 best papers in this fields. Understanding this question will help you know the basic concept, general problems and important approahces in this field. | ||
| Basic machine learning knowledge | | Basic machine learning knowledge | ||