Using noise reduction to enhance ranking based genomic selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics
Link
https://link.springer.com/content/pdf/10.1007/s10722-021-01190-9.pdf
Reference51 articles.
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2. Abellán J, Moral S (2003) Building classification trees using the total uncertainty criterion. Int J Intell Syst 18(12):1215–1225
3. Aggarwal CC (2015) Data mining: the textbook. Springer Publishing Company, Berlin
4. Agrawal R, Gehrke J, Gunopulos D, Raghavan P (1998) Automatic subspace clustering of high dimensional data for data mining applications. In: Proceedings of the 1998 ACM SIGMOD international conference on Management of data, pp 94–105
5. Banerjee R, Marathi B, Singh M (2020) Efficient genomic selection using ensemble learning and ensemble feature reduction. J Crop Sci Biotechnol 1–13
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