Feature Importance Measure for Non-linear Learning Algorithms.
Marina M.-C. VidovicNico GörnitzKlaus-Robert MüllerMarius KloftPublished in: CoRR (2016)
Keyphrases
- feature importance
- learning algorithm
- random forest
- machine learning
- distance measure
- training data
- machine learning algorithms
- active learning
- relevance feedback
- learning tasks
- neural network
- similarity measure
- learning problems
- correlation coefficient
- feature selection
- semi supervised
- supervised learning
- labeled data
- back propagation
- learning rate
- learning scheme
- data mining