中国科学院重庆绿色智能技术研究院机构知识库

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	A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920 作者:  Wu, Di;  Luo, Xin;  Wang, Guoyin;  Shang, Mingsheng;  Yuan, Ye;  Yan, Huyong 收藏  |  浏览/下载：212/0  |  提交时间：2018/06/04 Differential evolution (DE)  general framework  industrial application  positioning optimization  self-labeled  semi-supervised classification (SSC)
	Self-training semi-supervised classification based on density peaks of data 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191 作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin 收藏  |  浏览/下载：165/0  |  提交时间：2018/03/05 Density peaks  Self-training  Semi-supervised classification  Supervised learning
	Water eutrophication evaluation based on semi-supervised classification: A case study in Three Gorges Reservoir 期刊论文 ECOLOGICAL INDICATORS, 2017, 卷号: 81, 页码: 362-372 作者:  Wu, Di;  Yan, Huyong;  Shang, Mingsheng;  Shan, Kun;  Wang, Guoyin 收藏  |  浏览/下载：128/0  |  提交时间：2018/03/05 Semi-supervised Classification  Eutrophication Evaluation  Three Gorges Reservoir