Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning.
Zishang ChenJuan LiKun ZhuChangyan YiTianZi ZangPublished in: WCNC (2024)
Keyphrases
- model selection
- parameter estimation
- bayesian learning
- statistical learning
- prior knowledge
- cross validation
- unsupervised learning
- meta learning
- learning models
- likelihood function
- machine learning
- bayesian methods
- learning tasks
- mixture model
- information criterion
- objective function
- learning algorithm
- automatic model selection
- bayesian information criterion
- generalization error
- variable selection
- statistical model
- regression model
- graphical models
- supervised learning
- probabilistic model