Challenging issues in classification problems : sparisty control, key instance detection, and imbalanced data
This thesis deals with the difficulties in classification problems caused by three types of sparsity characteristics - feature, label, and instance sparsity. First, feature spar- sity is usually used as prior knowledge by inducing parameter sparsity of the learned model. We show that only an appropr...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | http://hdl.handle.net/10356/52422 |