Learning from Asymmetric Models and Matched Pairs
abstract: With the increase in computing power and availability of data, there has never been a greater need to understand data and make decisions from it. Traditional statistical techniques may not be adequate to handle the size of today's data or the complexities of the information hidden wit...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/2286/R.I.16445 |