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RANC

Description: This package provides an implementation of the RANC algorithm. RANC is a privacy-preserving multi-view learning algorithm, and a rank consistency criterion is proposed to make different view outputs similar results.

Reference: Han-Jia Ye, De-Chuan Zhan, Yuan Miao, Yuan Jiang and Zhi-Hua Zhou. Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach. In: Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM’15), Melbourne, Australia, 2015, Page: 991-1000.

Requirements: This package is developed 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 Zhou (zhouzh@lamda.nju.edu.cn).

ATTN2: This package was developed by Mr. Han-Jia Ye (yehj@lamda.nju.edu.cn). The readme file and demo roughly explains how to use the codes. For any problem concerning the codes, please feel free to contact Mr. Ye.

Download: code (422KB)
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