Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Cross-Task and Cross-Model Active Learning with Meta Features
When the task model or data set changes, the active learning strategies based on heuristics are difficult to perform well all the time. In this paper, we propose a task-agnostic and model-agnostic active learn...