- Tytuł:
- Seeing It All: Evaluating Supervised Machine Learning Methods for the Classification of Diverse Otariid Behaviours.
- Autorzy:
- Źródło:
- PloS one [PLoS One] 2016 Dec 21; Vol. 11 (12), pp. e0166898. Date of Electronic Publication: 2016 Dec 21 (Print Publication: 2016).
- Typ publikacji:
- Journal Article
- MeSH Terms:
-
Behavior, Animal/*classification
Fur Seals /*physiology
Sea Lions/*physiology
Accelerometry ; Algorithms ; Animals ; Feeding Behavior ; Logistic Models ; Support Vector Machine ; Video Recording
Czasopismo naukowe