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Multi-label dimensionality reduction /
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data minin...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Florida :
CRC Press,
[2014]
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| Series: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Subjects: | |
| Online Access: | Texto completo |