Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data.
Lucile RiaboffSylvain PoggiAurélien MadouasseSébastien CouvreurSébastien AubinNicolas BédèreEtienne GoumandAlain ChauvinGuy PlantierPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- machine learning algorithms
- methodological framework
- benchmark data sets
- learning algorithm
- machine learning
- predictive accuracy
- decision trees
- machine learning methods
- learning problems
- prediction accuracy
- machine learning approaches
- accelerometer data
- machine learning models
- standard machine learning algorithms
- learning tasks
- random forests
- input features
- behavior recognition
- statistical machine learning
- neural network
- prediction model
- learning models
- information processing
- machine learning systems
- unsupervised learning
- decision tree learners
- data sets