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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,...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Front Genet
Main Authors: Crossa, José, Martini, Johannes W.R., Gianola, Daniel, Pérez-Rodríguez, Paulino, Jarquin, Diego, Juliana, Philomin, Montesinos-López, Osval, Cuevas, Jaime
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2019
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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