Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.

D A Gredell; A R Schroeder; K E Belk; C D Broeckling; A L Heuberger; Sang Kim; D A King; S D Shackelford; J L Sharp; Tommy Wheeler; Dale Woerner; J E Prenni

Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.

D A Gredell, A R Schroeder, K E Belk, C D Broeckling, A L Heuberger, Sang Kim, D A King, S D Shackelford, J L Sharp, Tommy Wheeler, Dale Woerner, J E Prenni

Animal and Food Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	5721
Journal	Default journal
State	Published - Apr 5 2019

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title = "Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.",

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AU - Gredell, D A

AU - Schroeder, A R

AU - Belk, K E

AU - Broeckling, C D

AU - Heuberger, A L

AU - Kim, Sang

AU - King, D A

AU - Shackelford, S D

AU - Sharp, J L

AU - Wheeler, Tommy

AU - Woerner, Dale

AU - Prenni, J E

PY - 2019/4/5

Y1 - 2019/4/5

M3 - Article

SP - 5721

JO - Default journal

JF - Default journal

ER -

Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data.

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