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A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
In addition, this approach can be very valuable for the cases when the number of actual available labelled data is small which itself is one of the problems of the contemporary machine learning.
Parsimonious Random Vector Functional Link Network for Data Streams
The theory of random vector functional link network (RVFLN) has provided a breakthrough in the design of neural networks (NNs) since it conveys solid theoretical justification of randomized learning.
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