Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams.
Helen McKayNathan GriffithsPhillip TaylorPublished in: CoRR (2021)
Keyphrases
- model selection
- concept drifting data streams
- cross validation
- hyperparameters
- drift detection
- concept drift
- classifier ensemble
- decision trees
- machine learning
- inductive learning algorithms
- learning process
- feature selection
- model selection criteria
- streaming data
- selection criterion
- learning experience
- generalization error
- marginal likelihood
- gaussian process
- gaussian processes
- unsupervised learning
- graphical models
- data sets
- feature vectors
- em algorithm