A Bayesian Nonparametric Learning Approach to Ensemble Models Using the Proper Bayesian Bootstrap.
Marta GalvaniChiara BardelliSilvia FiginiPietro MulierePublished in: Algorithms (2021)
Keyphrases
- learning algorithm
- bayesian nonparametric
- prior knowledge
- inverse reinforcement learning
- structured prediction
- mixture model
- model selection
- parameter estimation
- statistical models
- bayesian learning
- hidden variables
- learning models
- bayesian framework
- learning problems
- supervised learning
- reinforcement learning
- bayesian networks