Double Dipping in Machine Learning: Problems and Solutions

被引：28

作者：

Ball, Tali M. ^{[1
]}

Squeglia, Lindsay M. ^{[3
]}

Tapert, Susan F. ^{[2
]}

Paulus, Martin P. ^{[4
]}

机构：

[1] Stanford Univ, Sch Med, 401 Quarry Rd, Stanford, CA 94305 USA

[2] Univ Calif San Diego, San Diego, CA 92103 USA

[3] Med Univ South Carolina, Charleston, SC 29425 USA

[4] Laureate Inst Brain Res, Tulsa, OK USA

来源：

BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING | 2020年 / 5卷 / 03期

关键词：

D O I：

10.1016/j.bpsc.2019.09.003

中图分类号：

Q189 [神经科学];

学科分类号：

071006 [神经生物学];

摘要：

引用

页码：261 / 263

页数：3

共 4 条

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[2]

Fortmann-Roe S., 2012, Understanding the bias -variance tradeoff

[3]

Circular analysis in systems neuroscience: the dangers of double dipping [J].

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Baker, Chris I. .

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[4]

Neural Predictors of Initiating Alcohol Use During Adolescence [J].

Squeglia, Lindsay M. ;

Ball, Tali M. ;

Jacobus, Joanna ;

Brumback, Ty ;

McKenna, Benjamin S. ;

Nguyen-Louie, Tam T. ;

Sorg, Scott F. ;

Paulus, Martin P. ;

Tapert, Susan F. .

AMERICAN JOURNAL OF PSYCHIATRY, 2017, 174 (02) :172-185

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