A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers.
Nahuel StatutoIrene UncetaJordi NinOriol PujolPublished in: CoRR (2023)
Keyphrases
- machine learning
- decision trees
- machine learning algorithms
- machine learning methods
- highly scalable
- pattern recognition
- machine learning approaches
- training data
- data mining
- supervised classification
- lightweight
- learning algorithm
- feature selection
- data analysis
- inductive learning
- multiple classifiers
- memory efficient
- data sets
- single pass
- explanation based learning
- meta learning
- supervised learning
- inductive logic programming
- learning tasks
- support vector
- classification algorithm
- knowledge discovery
- semi supervised learning
- knowledge acquisition