Combining Multi-ratio Undersampling and Metric Learning for Imbalanced Classification.
Takahiro KomamizuPublished in: J. Data Intell. (2021)
Keyphrases
- metric learning
- class imbalance
- distance metric learning
- nearest neighbor classification
- distance metric
- margin maximization
- machine learning and pattern recognition
- pairwise
- learning tasks
- feature space
- machine learning
- support vector machine
- pattern recognition
- decision trees
- semi supervised
- kernel learning
- image classification
- multi task
- classification accuracy
- fully supervised
- feature vectors
- distance function
- feature extraction
- high dimensionality
- cost sensitive
- class distribution
- mahalanobis metric
- model selection
- semi supervised learning
- k nearest neighbor
- text classification
- dimensionality reduction
- nearest neighbor
- active learning
- prior knowledge
- recommender systems
- training set
- feature selection