Editorial: Applications of Machine Learning to Evolutionary Ecology Data

被引：1

作者：

Morimoto, Juliano ^{[1
]}

Ponchon, Aurore ^{[1
]}

Sofronov, Georgy ^{[2
]}

Travis, Justin ^{[1
]}

机构：

[1] Univ Aberdeen, Sch Biol Sci, Aberdeen, Scotland

[2] Macquarie Univ, Dept Math & Stat, Sydney, NSW, Australia

来源：

FRONTIERS IN ECOLOGY AND EVOLUTION | 2021年 / 9卷

关键词：

machine learning; artificial intelligence; ecological theories; innovation; niche adaptation;

D O I：

10.3389/fevo.2021.797319

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

引用

页数：2

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Hassall, Christopher .

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[2] Insect population trends and the IUCN Red List process [J].

Fox, Richard ;

Harrower, Colin A. ;

Bell, James R. ;

Shortall, Chris R. ;

Middlebrook, Ian ;

Wilson, Robert J. .

JOURNAL OF INSECT CONSERVATION, 2019, 23 (02) :269-278

[3]

James G, 2013, SPRINGER TEXTS STAT, V103, P303, DOI 10.1007/978-1-4614-7138-7_8

[4]

Kroese D P., 2019, Data science and machine learning: Mathematical and statistical methods, DOI DOI 10.1201/9780367816971

[5]

Stoll Clifford., 1995, SILICON SNAKE OIL 2, V1st

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