Active Learning with Semi-Supervised Support Vector Machines
A significant problem in many machine learning tasks is that it is time consuming and costly to gather the necessary labeled data for training the learning algorithm to a reasonable level of performance. In reality, it is often the case that a small amount of labeled data is available and that more...
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| Format: | Others |
| Language: | en |
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2007
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| Online Access: | http://hdl.handle.net/10012/3071 |