Analysis of a greedy active learning strategy

act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and lower bounds on the number of labels which need to be queried, and we prove that a popular greedy active learning rule is approximately as good as any other strategy for minimizing this number of labels.

• Type: Conference
• Year: 2004
• Where: NIPS
• Authors: Sanjoy Dasgupta
• Keywords: Active Learning, Active Learning Schemes, Core Search Problem, NIPS 2004, NIPS 2007