: This package provides an implementation of the TopPush algorithm proposed in . It trains a linear
ranking model which focuses on the performance at the top of the ranked list, and its computational
complexity is linear in the number of training instances. A readme file is included in the package. Reference
:  N. Li, R. Jin and Z.-H. Zhou. Top Rank Optimization in Linear Time. In NIPS-2014.
(Long version: CoRR, abs/1410.1462 | http://arxiv.org/abs/1410.1462)Requirements
This package is developed with MATLAB, and C MEX-file is used to implement certain key step.
We provide Windows 64-bit mex-file (with .maxw64 extension), so the code should be run on Windows (64-bit).
If you want to run it on other platforms, please compile the C codes using MEX with MATLAB. ATTN
: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua ZhouATTN2
: This package was developed by Mr. Nan Li (firstname.lastname@example.org). The readme file and demo roughly explains how to use the codes. For any problem concerning the codes, please feel free to contact Mr. Li.Download