Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach.
Antonio R. MoyaBruno VelosoJoão GamaSebastián VenturaPublished in: Data Min. Knowl. Discov. (2024)
Keyphrases
- data streams
- hyperparameters
- model selection
- sliding window
- random sampling
- cross validation
- closed form
- streaming data
- parameter settings
- prior information
- em algorithm
- bayesian framework
- bayesian inference
- support vector
- data sets
- noise level
- concept drift
- sensor networks
- sample size
- genetic algorithm
- maximum a posteriori
- maximum likelihood