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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Detalhes bibliográficos
Publicado no:Front Genet
Main Authors: Crossa, José, Martini, Johannes W.R., Gianola, Daniel, Pérez-Rodríguez, Paulino, Jarquin, Diego, Juliana, Philomin, Montesinos-López, Osval, Cuevas, Jaime
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Genetics
Acesso em linha: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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