Pool-Based Active Learning with Query Construction

被引:0
|
作者
Zhang, Shanhong [1 ]
Yin, Jian [1 ]
Guo, Weizhao [1 ]
机构
[1] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Guangdong, Peoples R China
来源
FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2011) | 2011年 / 122卷
关键词
active learning; pool-based; construct query; climbing algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Active learning is an important method for solving data scarcity problem in machine learning, and most research work of active learning are pool-based. However, this type of active learning is easily affected by pool size, and makes performance improvement of classifier slow. A novel active learning with constructing queries based pool is proposed. Each iteration the training process first chooses representative instance from pool predefined, then employs climbing algorithm to construct instance to label which best represents the original unlabeled set. It makes each queried instance more representative than any instance in the pool. Compared with the original pool based method and a state-of-the-art active learning with constructing queries directly, the new method makes the prediction error rate of classifier drop more fast, and improves the performance of active learning classifier.
引用
收藏
页码:13 / 22
页数:10
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