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Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations
Journal of Chemometrics ( IF 2.4 ) Pub Date : 2020-03-01 , DOI: 10.1002/cem.3201
Kristian Hovde Liland 1 , Petter Stefansson 1 , Ulf Geir Indahl 1
Affiliation  

A novel formulation of the wide kernel algorithm for partial least squares regression (PLSR) is proposed. We show how the elimination of redundant calculations in the traditional applications of PLSR helps in speeding up any choice of cross‐validation strategy by utilizing precalculated lookup matrices.

中文翻译:

通过避免冗余计算,在 PLSR 建模中进行更快的交叉验证

提出了一种用于偏最小二乘回归 (PLSR) 的宽核算法的新公式。我们展示了在 PLSR 的传统应用中消除冗余计算如何通过利用预先计算的查找矩阵来帮助加快任何交叉验证策略的选择。
更新日期:2020-03-01
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