A Unified Approach to Active Dual Supervision for Labeling Features and Examples

Author:

Attenberg Josh,Melville Prem,Provost Foster

Publisher

Springer Berlin Heidelberg

Reference26 articles.

1. Attenberg, J., Melville, P., Provost, F.: Guided feature labeling for budget-sensitive learning under extreme class imbalance. In: BL-ICML 2010: Workshop on Budgeted Learning (2010)

2. Blum, A., Mitchell, T.: Combining labeled and unlabeled data with co-training. In: COLT (1998)

3. Cohn, D., Atlas, L., Ladner, R.: Improving generalization with active learning. Machine Learning 15(2), 201–221 (1994)

4. Dayanik, A., Lewis, D., Madigan, D., Menkov, V., Genkin, A.: Constructing infor- mative prior distributions from domain knowledge in text classification. In: SIGIR (2006)

5. Druck, G., Mann, G., McCallum, A.: Learning from labeled features using generalized expectation criteria. In: SIGIR (2008)

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