Collaborative learning from multiple data sources
A machine learning classifier can be trained on an labeled input data set, which comprise samples and their corresponding labels, to predict the labels of samples that it has never seen before. The problem of combining several machine learning classifiers to achieve a result that is greater than the...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | https://hdl.handle.net/10356/55062 |