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SAFER

Description: The package includes the MATLAB code of the semi-supervised regression algorithm SAFER which towards avoiding performance deterioration using unlabeled data, or safe semi-supervised regression algorithm [1]. You will find an example of using this code in the 'example.m' function. The example data is housing data. In particular, 10 examples are labeled and the rest are unlabeled. In our AAAI'17 experiment, all the features and labels are normalized to [0,1] in advanced.

Reference:
[1] Yu-Feng Li, Han-Wen Zha and Zhi-Hua Zhou. Learning safe prediction for semi-supervised regression. In: The 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, 2017.

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@nju.edu.cn).

Requirement: The package was developed with MATLAB (v2008a).

ATTN2: This package was developed by Mr. Han-Wen Zha (zhahw12@gmail.com) and Dr. Yu-Feng Li (liyf@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Dr. Li or Mr. Zha.

Download: code (24KB) (version November 19, 2016)
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Contact LAMDA: (email) contact@lamda.nju.edu.cn (tel) +86-25-89685926. © LAMDA, 2016