Mixed effects in machine learning - A flexible mixedML framework to add random effects to supervised machine learning regression.
Pascal KilianSangbeak YeAugustin KelavaPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- mixed effects
- random effects
- supervised machine learning
- machine learning
- hidden markov models
- supervised learning
- hierarchical structure
- multiscale
- probabilistic model
- regression model
- active learning
- linear models
- learning algorithm
- data mining
- reinforcement learning
- text mining
- linear model
- manually annotated
- high quality