Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance.
Pawel ZyblewskiMichal WozniakPublished in: ICCS (4) (2020)
Keyphrases
- class distribution
- euclidean distance
- highly skewed
- data points
- training data
- data sets
- data analysis
- prior knowledge
- distance measure
- small number
- class imbalance
- data distribution
- test set
- unlabeled data
- support vector machine
- similarity measure
- machine learning
- dimensionality reduction
- data streams
- image processing
- test data
- change detection
- computer vision
- neural network