The true sample complexity of active learning

Author:

Balcan Maria-Florina,Hanneke Steve,Vaughan Jennifer Wortman

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference21 articles.

1. Antos, A., & Lugosi, G. (1998). Strong minimax lower bounds for learning. Machine Learning, 30, 31–56.

2. Balcan, M.-F., & Blum, A. (2006). A PAC-style model for learning from labeled and unlabeled data. In O. Chapelle, B. Schölkopf, & A. Zien (Eds.), Semi-supervised learning. Cambridge: MIT.

3. Balcan, M.-F., Beygelzimer, A., & Langford, J. (2006). Agnostic active learning. In Proceedings of the 23rd international conference on machine learning.

4. Balcan, M.-F., Broder, A., & Zhang, T. (2007). Margin based active learning. In Proceedings of the 20th annual conference on learning theory.

5. Balcan, M.-F., Hanneke, S., & Wortman, J. (2008). The true sample complexity of active learning. In Proceedings of the 21st annual conference on learning theory.

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