Sogawa et al., 2013 - Google Patents
Active learning for noisy oracle via density power divergenceSogawa et al., 2013
- Document ID
- 14811365626798244533
- Author
- Sogawa Y
- Ueno T
- Kawahara Y
- Washio T
- Publication year
- Publication venue
- Neural networks
External Links
Snippet
The accuracy of active learning is critically influenced by the existence of noisy labels given by a noisy oracle. In this paper, we propose a novel pool-based active learning framework through robust measures based on density power divergence. By minimizing density power …
- 238000007619 statistical method 0 abstract description 7
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- G06F17/30289—Database design, administration or maintenance
- G06F17/30303—Improving data quality; Data cleansing
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