Your browser doesn't support javascript.
loading
Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle.
van der Heide, E M M; Veerkamp, R F; van Pelt, M L; Kamphuis, C; Athanasiadis, I; Ducro, B J.
Affiliation
  • van der Heide EMM; Wageningen University and Research Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands. Electronic address: esther.vanderheide@wur.nl.
  • Veerkamp RF; Wageningen University and Research Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands.
  • van Pelt ML; Cooperation CRV, Animal Evaluation Unit, PO Box 454, 6800 AL Arnhem, the Netherlands.
  • Kamphuis C; Wageningen University and Research Information Technology Group, 6706 KN Wageningen, the Netherlands.
  • Athanasiadis I; Wageningen University and Research Information Technology Group, 6706 KN Wageningen, the Netherlands.
  • Ducro BJ; Wageningen University and Research Animal Breeding and Genomics, PO Box 338, 6700 AH Wageningen, the Netherlands.
J Dairy Sci ; 102(10): 9409-9421, 2019 Oct.
Article in En | MEDLINE | ID: mdl-31447154
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle / Genome / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Pregnancy Language: En Journal: J Dairy Sci Year: 2019 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cattle / Genome / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Pregnancy Language: En Journal: J Dairy Sci Year: 2019 Document type: Article Country of publication: Estados Unidos