Academic Journal

Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed

التفاصيل البيبلوغرافية
العنوان: Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed
المؤلفون: Faraz, Asim, Tırınk, Cem, Önder, Hasan, Şen, Uğur, Ishaq, Hafiz Muhammad, Tauqir, Nasir Ali, Waheed, Abdul, Nabeel, Muhammad Shahid
المصدر: Tropical Animal Health and Production ; volume 55, issue 4 ; ISSN 0049-4747 1573-7438
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2023
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1007/s11250-023-03700-6
DOI: 10.1007/s11250-023-03700-6.pdf
DOI: 10.1007/s11250-023-03700-6/fulltext.html
الاتاحة: http://dx.doi.org/10.1007/s11250-023-03700-6
https://link.springer.com/content/pdf/10.1007/s11250-023-03700-6.pdf
https://link.springer.com/article/10.1007/s11250-023-03700-6/fulltext.html
Rights: https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining
رقم الانضمام: edsbas.839C8065
قاعدة البيانات: BASE
الوصف
DOI:10.1007/s11250-023-03700-6