Semi-supervised feature selection
=== As data acquisition has become relatively easy and inexpensive, data sets are becoming extremely large, both in relation to the number of variables, and on the number of instances. However, the same is not true for labeled instances . Usually, the cost to obtain these labels is very high, and f...
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| Format: | Others |
| Language: | English |
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Universidade Federal de Minas Gerais
2013
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| Online Access: | http://hdl.handle.net/1843/BUOS-97NJ9S |