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Seminar on Internet Technologies (Summer 2017): Difference between revisions
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Seminar on Internet Technologies (Summer 2017) (view source)
Revision as of 14:07, 30 March 2017
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| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong] | | [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong] | ||
| [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html] | | [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html] | ||
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| '''Traffic Data Analysis''' | |||
Great amount of traffic data are generated everyday from private cars, subway, taxi and buses, etc. Traffic data analysis is of great help to understand the patterns of people mobility, transport planning, urban management and policymaking. And it is also a way to learn some basic knowledge about data mining. | |||
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] | |||
| [http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149222][https://pdfs.semanticscholar.org/7d15/0a9390d569750978d9abcee4524f1974961f.pdf] | |||
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| '''Machine Learning''' | |||
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension -- as is the case in data mining applications -- machine learning uses that data to detect patterns in data and adjust program actions accordingly | |||
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] | |||
| [https://dspace.mit.edu/openaccess-disseminate/1721.1/103130] | |||
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| '''Deep Learning''' | |||
Deep learning is a class of machine learning algorithms that use a cascade of many layers of nonlinear processing units for feature extraction and transformation. It is now broadly studied and used in following areas: Automatic speech recognition, Image recognition, Natural language processing, Drug discovery and toxicology, Customer relationship management, Recommendation systems, Biomedical informatics. | |||
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] | |||
| [http://pages.cs.wisc.edu/~dyer/cs540/handouts/deep-learning-nature2015.pdf][https://arxiv.org/pdf/1404.7828] | |||
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