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A graph based transductive ranking algorithm

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2 Author(s)
Zhibin Pan ; Coll. of Sci., Huazhong Agric. Univ., Wuhan, China ; Xiaoyan Wei

Semi-supervised ranking is a newly developed machine learning problem. In this paper, based on the graph constructed on both labeled and unlabeled data points, we propose a novel semi-supervised ranking algorithm in the transductive setting via a semi-supervised regression model. We also derive the solution in an explicit form for this model. Experiments on two QSAR data sets demonstrate its utility and effectiveness.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012

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