Incremental model selection and ensemble prediction under virtual concept drifting environments.
Koichiro YamauchiPublished in: Evol. Syst. (2011)
Keyphrases
- model selection
- concept drifting
- stream data
- mining concept drifting data streams
- streaming data
- data streams
- concept drift
- noisy data
- stream data mining
- concept drifting data streams
- incremental learning
- cross validation
- hyperparameters
- noisy data streams
- sliding window
- ensemble learning
- ensemble classifier
- regression model
- machine learning
- gaussian process
- feature selection
- marginal likelihood
- prediction accuracy
- sensor data
- selection criterion
- historical data
- model selection criteria
- change detection
- mixture model
- unsupervised learning
- information criterion
- generalization error
- variable selection
- sequential patterns
- automatic model selection
- network traffic
- classification accuracy
- ensemble methods
- data sets