@ARTICLE{XAQZ+13, author = {Xu, Shuo and An, Xin and Qiao, Xiaodong and Zhu, Lijun and Li, Lin}, title = {Multi-Output Least-Squares Support Vector Regression Machines}, journal = {Pattern Recognition Letters}, year = {2013}, abstract = {Multi-output regressi ...
@ARTICLE{GXFF13, author = {Gao, Shan and Xu, Shuo and Fang, Yaping and Fang, Jianwen}, title = {Prediction of Core Cancer Gene using Multi-task Classification Framework}, journal = {Journal of Theoretical Biology}, year = {2013}, volume = {317}, pages ...
@INPROCEEDINGS{XXQS+12, author = {Shuo Xu and Lijun Zhu and Xiaodong Qiao and Qingwei Shi and Jie Gui}, title = {Topic Linkages between Papers and Patents}, booktitle = {Proceedings of the 4th International Conference on Advanced Science and Technology}, year = { ...
@ARTICLE{XQZZ+12, AUTHOR = {Xu, Shuo and Qiao, Xiaodong and Zhu, Lijun and Zhang, Yunlinag and Li, Lin}, TITLE = {Fast but Not Bad Initial Configuration for Metric Multidimensional Scaling}, JOURNAL = {Jou ...
In many real-world applications, unlabeled examples are inexpensiveand easy to obtain. Semi-supervised approaches try to utilize suchexamples to boost the predictive performance. But previous researchmainly focuses on classification problem, and semi-supervisedregression re ...
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