Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials

Lignende værker

• Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
  af: José Crossa, et al.
  Udgivet: (2019-12-01)
• Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
  af: Crossa, José, et al.
  Udgivet: (2019)
• A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
  af: Montesinos-López, Osval A., et al.
  Udgivet: (2019)
• Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
  af: Cuevas, Jaime, et al.
  Udgivet: (2016)
• A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
  af: Montesinos-López, Osval A., et al.
  Udgivet: (2019)