Incremental Model Selection and Ensemble Prediction under Virtual Concept Drifting Environments.
Koichiro YamauchiPublished in: PRICAI (2010)
Keyphrases
- model selection
- concept drifting
- stream data
- mining concept drifting data streams
- streaming data
- data streams
- concept drift
- noisy data
- stream data mining
- incremental learning
- cross validation
- concept drifting data streams
- noisy data streams
- hyperparameters
- ensemble learning
- sliding window
- regression model
- mixture model
- ensemble classifier
- historical data
- machine learning
- sequential patterns
- unsupervised learning
- generalization error
- gaussian process
- selection criterion
- information criterion
- feature selection
- network traffic
- continuous queries
- automatic model selection
- variable selection
- model selection criteria
- sensor data
- high dimensional
- marginal likelihood
- bayesian information criterion
- classifier ensemble
- class labels
- ensemble methods
- training set
- base classifiers