Learning with high-dimensional noisy data
Learning an unknown parameter from data is a problem of fundamental importance across many fields of engineering and science. Rapid development in information technology allows a large amount of data to be collected. The data is often highly non-uniform and noisy, sometimes subject to gross errors a...
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| Format: | Others |
| Language: | en_US |
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2013
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| Online Access: | http://hdl.handle.net/2152/21318 |