Conclusions
	• Three ways to do active learning with SVMs • Active learning can significantly reduce the need for labeled instances – in a domain where SVMs already perform well • Simple = cheap but unstable in some cases • Ratio = expensive but more stable • Hybrid = combines benefits of both methods