Livestock Informatics Toolkit: A Case Study in Visually Characterizing Complex Behavioral Patterns across Multiple Sensor Platforms, Using Novel Unsupervised Machine Learning and Information Theoretic Approaches

Large and densely sampled sensor datasets can contain a range of complex stochastic structures that are difficult to accommodate in conventional linear models. This can confound attempts to build a more complete picture of an animal’s behavior by aggregating information across multiple asynchronous...

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Detalles Bibliográficos
Autores principales: McVey, Catherine, Hsieh, Fushing, Manriquez, Diego, Pinedo, Pablo, Horback, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747447/
https://www.ncbi.nlm.nih.gov/pubmed/35009546
http://dx.doi.org/10.3390/s22010001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747447/
https://www.ncbi.nlm.nih.gov/pubmed/35009546
http://dx.doi.org/10.3390/s22010001

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