Multiple surrogates: how cross-validation errors can help us to obtain the best predictor

Title
Multiple surrogates: how cross-validation errors can help us to obtain the best predictor
Authors
Keywords
-
Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 39, Issue 4, Pages 439-457
Publisher
Springer Nature
Online
2009-01-07
DOI
10.1007/s00158-008-0338-0

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