Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift.
Ralf KlinkenbergPublished in: LWA (2005)
Keyphrases
- meta learning
- model selection
- concept drift
- machine learning
- selection criterion
- data streams
- cross validation
- streaming data
- classification algorithm
- non stationary
- feature selection
- change detection
- data distribution
- learning tasks
- machine learning methods
- real world
- machine learning algorithms
- inductive learning
- selection criteria
- feature vectors
- reinforcement learning
- decision trees
- data mining
- kernel function
- knowledge representation
- pairwise
- image processing
- data sets