Deep search:Searching for "Semi-supervised learning" in 'KEYWORDGot 6 items.
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1Random walk models for top-N recommendation task
Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ...  Clicked:5029  Download:3469  Cited:3  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.7 P.927-936  DOI:10.1631/jzus.A0920021
2Clustering feature decision trees for semi-supervised classification from high-speed data streams
Author(s):Wen-hua Xu, Zheng Qin, Yang Chang  Clicked:5991  Download:3808  Cited:4  <Full Text>
Journal of Zhejiang University Science C  2011 Vol.12 No.8 P.615-628  DOI:10.1631/jzus.C1000330
3Interactive image segmentation with a regression based ensemble learning paradigm
Author(s):Jin Zhang, Zhao-hui Tang, Wei-hua ...  Clicked:3746  Download:1433  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.7 P.1002-1020  DOI:10.1631/FITEE.1601401
4Representation learning via a semi-supervised stacked distance autoencoder for image classification
Author(s):Liang Hou, Xiao-yi Luo, Zi-yang Wa...  Clicked:3581  Download:1596  Cited:0  <Full Text>  <PPT> 1314
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1005-1018  DOI:10.1631/FITEE.1900116
5A local density optimization method based on a graph convolutional network
Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan,...  Clicked:2432  Download:1332  Cited:0  <Full Text>  <PPT> 1065
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1795-1803  DOI:10.1631/FITEE.1900663
6NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning
Author(s):Jianke HU, Yin ZHANG  Clicked:3526  Download:1973  Cited:0  <Full Text>  <PPT> 73
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.409-421  DOI:10.1631/FITEE.2000657
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