A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data-Reference-Cited by-同舟云学术

A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data

Published:2016 Issue: Volume: Page:78-86
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Braytee Ali,Liu Wei,Kennedy Paul

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46675-0_9

Reference12 articles.

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4. Dmochowski, J.P., Sajda, P., Parra, L.C.: Maximum likelihood in cost-sensitive learning: model specification, approximations, and upper bounds. J. Mach. Learn. Res. 11, 3313–3332 (2010)

5. He, H., Bai, Y., et al.: Adasyn: adaptive synthetic sampling approach for imbalanced learning. In: IEEE International Joint Conference on Neural Networks, IJCNN 2008, pp. 1322–1328. IEEE (2008)

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