Towards efficient large-scale learning by exploiting sparsity
The last decade has witnessed explosive growth in data. The ultrahigh-dimensional and large volume data have brought many critical issues, such as the storage disaster, the scalability issues for data analysis, and so on. To enable efficient and effective big data analysis, this thesis exploits the...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/61881 |