Online Passive-Aggressive Active learning

Author:

Lu Jing,Zhao Peilin,Hoi Steven C. H.

Funder

MOE tier 1 grant

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference51 articles.

1. Akbani, R., Kwek, S., & Japkowicz, N. (2004). Applying support vector machines to imbalanced datasets. Machine learning: ECML 2004 (pp. 39–50). Springer.

2. Balcan, M.-F., Beygelzimer, A., & Langford, J. (2006). Agnostic active learning. ICML (pp. 65–72).

3. Balcan, M.-F., Broder, A., & Zhang, T. (2007). Margin based active learning. COLT (pp. 35–50).

4. Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution, 2010 20th international conference on pattern recognition (ICPR). IEEE (pp. 3121–3124).

5. Castro, R. M., & Nowak, R. D. (2007). Minimax bounds for active learning. COLT (pp. 151–156).

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