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79

COLT
2007
Springer

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Margin Based Active Learning

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Margin Based Active Learning

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We present a framework for margin based active learning of linear separators. We instantiate it for a few important cases, some of which have been previously considered in the literature. We analyze the effectiveness of our framework both in the realizable case and in a speciﬁc noisy setting related to the Tsybakov small noise condition.

Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang

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COLT 2007 | Linear Separators | Machine Learning | Small Noise Condition | Speciﬁc Noisy Setting |

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Added	07 Jun 2010
Updated	07 Jun 2010
Type	Conference
Year	2007
Where	COLT
Authors	Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang

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