FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics.
Michael GabelTobias HohlAndrea ImleOliver T. FacklerFrederik GrawPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- model selection
- complex systems
- parameter estimation
- learning algorithm
- dynamic systems
- regression model
- sample size
- k means
- similarity measure
- upper bound
- expectation maximization
- probabilistic model
- machine learning
- objective function
- parameter determination
- multi agent systems
- cross validation
- motion segmentation
- hyperparameters
- bayesian methods
- bayesian learning
- likelihood function