fuweijie / AER

scalable active learning by approximated error reduction

AER

This is the version 1.0 code of the work :
Weijie Fu, Meng Wang, Shijie Hao, and Xindong Wu, 'Scalable Active Learning by Approximated Error Reduction', SIGKDD, 2018.

Of note, we use the FLANN package for approximate nearest neighbors searching. You can see http://www.cs.ubc.ca/research/flann/#download and find its implemention details.

The datasets used in our experiments can be download at https://drive.google.com/drive/folders/1ntyr9rOV17KNynDcBjtGLk8lWdPTuFLV

If you have any problem when using this code, please feel free to contact us with [e-mail]

If you use this code, we appreciate it very much if you can cite our following works:

1. Wang M, Fu W, Hao S, Tao D, Wu X. Scalable semi-supervised learning by efficient anchor graph regularization. IEEE Transactions on Knowledge and Data Engineering. 2016 Jul 1;28(7):1864-77.
2. Wang M, Fu W, Hao S, Liu H, Wu X. Learning on big graph: Label inference and regularization with anchor hierarchy. IEEE Transactions on Knowledge and Data Engineering. 2017 May 1;29(5):1101-14.