Multivariate statistical machine lea...
Montesinos Lopez, Osval Antonio.

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  • Multivariate statistical machine learning methods for genomic prediction
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Multivariate statistical machine learning methods for genomic prediction/ by Osval Antonio Montesinos Lopez, Abelardo Montesinos Lopez, Jose Crossa ; foreword by Fred van Euwijk.
    作者: Montesinos Lopez, Osval Antonio.
    其他作者: Montesinos Lopez, Abelardo.
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xxiv, 691 p. :ill. (some col.), digital ;24 cm.
    內容註: Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.
    Contained By: Springer Nature eBook
    標題: Plant genetics - Statistical methods. -
    電子資源: https://doi.org/10.1007/978-3-030-89010-0
    ISBN: 9783030890100
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W9438599 電子資源 11.線上閱覽_V 電子書 EB QK981.5 .M65 2022 一般使用(Normal) 在架 0
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