Genetic prediction in bovine meat production : Is worth integrating bayesian and machine learning approaches? A comprenhensive analysis
Maria Ines Fariello, Eileen Armstrong, Alicia Fernández
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 20th Iberoamerican Congress, CIARP 2015, Montevideo, Uruguay, November 9-12, 2015, Proceedings, Lecture Notes in Computer Science, Volume 9423, Springer, , page 11--18 - 2015
Research Group(s): Tratamiento de Imagenes (gti)
Department(s): Procesamiento de Señales
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Abstract

Genomic prediction is a still growing field, as good predictions can have important economic impact in both, agronomics and health. In this article, we make a brief review and a comprehensive analysis of classical predictors used in the area. We propose a strategy to choose and ensemble of methods and to combine their results, to take advantage of the complementarity that some predictors have.

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» Alicia Fernández