Natural two view learning
Co-training is a semi supervised learning method that effectively learns from a pool of labeled and unlabeled data and takes advantage of redundancy in the feature set. Co-training is known to work well when the assumptions it makes on the feature set hold true. In this project, we investigated the...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2012
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| Online Access: | http://hdl.handle.net/10356/48591 |