Predicting rice phenotypes with meta and multi-target learning
The features in some machine learning datasets can naturally be divided into groups. This is the case with genomic data, where features can be grouped by chromosome. In many applications it is common for these groupings to be ignored, as interactions may exist between features belonging to different...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164462 |
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