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Animal Biotelemetry • Vol 11 • No 1
Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm
2023
Abstract Background Monitoring the behavior of wild animals in situ can improve our understanding of how their behavior is related to their habitat and affected by disturbances and changes in their environment. Moose ( Alces alces ) are keystone species in th…
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Machine Learning

Study of algorithms that improve automatically through experience

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance.

ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics.

Exploring foci of:
Animal Biotelemetry • Vol 11 • No 1
Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm
2023
Abstract Background Monitoring the behavior of wild animals in situ can improve our understanding of how their behavior is related to their habitat and affected by disturbances and changes in their environment. Moose ( Alces alces ) are keystone species in their boreal habitats, where they are facing environmental changes and disturbances from human activities. How these potential stressors can impact individuals and populations is unclear, in part due to our limited knowledge of the physiology and behavior of moo…
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Accelerometer
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Mathematics