Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania

Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania

Abstract Background Studies of mammalian sexual dimorphism have traditionally involved the measurement of selected dimensions of particular skeletal elements and use of single data-analysis procedures. Consequently, such studies have been limited by a variety of both practical and conceptual constra...

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Bibliographic Details
Main Authors: Norman MacLeod, Liora Kolska Horwitz
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Biology
Subjects:
Carnivores
Morphometrics
Machine learning
Automated identification
Convolution neural networks
Ecomorphology
Online Access:http://link.springer.com/article/10.1186/s12915-020-00832-1

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http://link.springer.com/article/10.1186/s12915-020-00832-1

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