An efficient online active learning algorithm for binary classification ?
We propose a new online active learning algorithm for binary classification. Our algorithm uses a margin-based criterion with iteratively decreased threshold. Our algorithm requires less queries to achieve comparable classification accuracy. Our algorithm incurs a smaller computation overhead at the same time.
online active learning binary classification margin-based criterion iteratively decreased threshold