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1.
A comparison of three machine learning methods for multivariate genomic prediction using the sparse kernels method (SKM) library by
Material type: Article Article
Language: English
Publication details: Basel (Switzerland) : MDPI, 2022
In: Genes v. 13, no. 8, art. 1494
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

2.
A comparison between three tuning strategies for gaussian kernels in the context of univariate genomic prediction by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Basel (Switzerland) : MDPI, 2022
In: Genes v. 13, no. 12 art. 2282.
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

3.
A multi-trait gaussian kernel genomic prediction model under three tunning strategies by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Basel (Switzerland) : MDPI, 2022
In: Genes v. 13, no. 12, art. 2279
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

4.
Feature engineering of environmental covariates improves plant genomic-enabled prediction by
Material type: Article Article
Language: English
Publication details: Switzerland : Frontiers Media S.A., 2024
In: Frontiers in Plant Science v. 15, art. 1349569
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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