Automated machine learning: A case study of genomic "image-based" prediction in maize hybrids

Machine learning methods such as multilayer perceptrons (MLP) and Convolutional Neural Networks (CNN) have emerged as promising methods for genomic prediction (GP). In this context, we assess the performance of MLP and CNN on regression and classification tasks in a case study with maize hybrids. Th...

Full description

Bibliographic Details
Main Authors: Galli, Giovanni, Sabadin, Felipe, Yassue, Rafael Massahiro, Galves, Cassia, Carvalho, Humberto Fanelli, Crossa, José, Montesinos-López, Osval Antonio, Fritsche-Neto, Roberto
Format: Journal Article
Language:Inglés
Published: Frontiers Media 2022
Subjects:
Online Access:https://hdl.handle.net/10568/164102

Similar Items: Automated machine learning: A case study of genomic "image-based" prediction in maize hybrids