Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours

Constructing activity budgets for marine animals when they are at sea and cannot be directly observed is challenging, but recent advances in bio-logging technology offer solutions to this problem. Accelerometers can potentially identify a wide range of behaviours for animals based on unique patterns...

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Detalles Bibliográficos
Autores principales: Ladds, Monique A., Thompson, Adam P., Slip, David J., Hocking, David P., Harcourt, Robert G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176164/
https://www.ncbi.nlm.nih.gov/pubmed/28002450
http://dx.doi.org/10.1371/journal.pone.0166898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176164/
https://www.ncbi.nlm.nih.gov/pubmed/28002450
http://dx.doi.org/10.1371/journal.pone.0166898

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