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Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
Deep learning (DL) is a promising method for genomic-enabled prediction. However, the implementation of DL is difficult because many hyperparameters (number of hidden layers, number of neurons, learning rate, number of epochs, batch size, etc.) need to be tuned. For this reason, deep kernel methods,...
Shranjeno v:
| izdano v: | Front Genet |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2019
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6913188/ https://ncbi.nlm.nih.gov/pubmed/31921277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.01168 |
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