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A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning.
Zhipeng Xie
Liyang Jiang
Tengju Ye
Xiaoli Li
Published in:
DASFAA (2) (2015)
Keyphrases
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low dimensional
prior knowledge
reinforcement learning
unsupervised learning
learning scheme
neural network
learning algorithm
feature selection
active learning
support vector machine
principal component analysis
dimensionality reduction
feature set
vector space
learning tasks
input space