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Liu et al., 2020 - Google Patents

Diverse instance-weighting ensemble based on region drift disagreement for concept drift adaptation

Liu et al., 2020

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Document ID
5733812453592617147
Author
Liu A
Lu J
Zhang G
Publication year
Publication venue
IEEE transactions on neural networks and learning systems

External Links

Snippet

Concept drift refers to changes in the distribution of underlying data and is an inherent property of evolving data streams. Ensemble learning, with dynamic classifiers, has proved to be an efficient method of handling concept drift. However, the best way to create and …
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    • G—PHYSICS
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
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