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Stellar Spectra Classification by Support Vector Machine with Unlabeled Data
期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 卷号: 39, 期号: 3, 页码: 948-952
作者:
Zhang Jing
;
Tu Liang-ping
;
Wang Jie
;
Liu Zhong-bao
;
Lei Yu-fei
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2019/05/23
Stellar spectra
Intelligent classification
Twin support vector machine
Unlabeled data
Large-Scale Robust Semisupervised Classification
期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 页码: 907-917
作者:
Zhang, Lingling
;
Luo, Minnan
;
Li, Zhihui
;
Nie, Feiping
;
Zhang, Huaxiang
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/11/19
Computational consumption
Labeled and unlabeled data
Optimization algorithms
Ridge regression
Semi- supervised learning
Semi-supervised classification
Semi-supervised learning methods
Semi-supervised method
Semi-supervised person Re-Identification using multi-view clustering
期刊论文
Pattern Recognition, 2019, 卷号: 88, 页码: 285-297
作者:
Xin, Xiaomeng
;
Wang, Jinjun
;
Xie, Ruji
;
Zhou, Sanping
;
Huang, Wenli
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/11/19
Convolutional neural network
Labeled training data
Multi-view clustering
Person re identifications
Propagation process
Semi- supervised learning
Semi-supervised
Unlabeled samples
Improving Label Noise Filtering by Exploiting Unlabeled Data
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 11154-11165
作者:
Guan, Donghai
;
Wei, Hongqiang
;
Yuan, Weiwei
;
Han, Guangjie
;
Tian, Yuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Label noise
noise filtering
unlabeled data
soft majority voting
Defect prediction by using cluster ensembles
会议论文
Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
作者:
Yang, Y.
;
Yang, J.
;
Qian, H.
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Artificial intelligence
Open source software
Unsupervised learning
Cluster ensembles
Data distribution
Defect prediction
Defect proneness
Open source projects
Predictive power
Software defect prediction
Unlabeled Datasets
Forecasting
Unified subspace learning for incomplete and unlabeled multi-view data
期刊论文
PATTERN RECOGNITION, 2017, 卷号: 67, 期号: 67, 页码: 313-327
作者:
Yin, Qiyue
;
Wu, Shu
;
Wang, Liang
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2017/05/10
Multi-view Learning
Subspace Learning
Incomplete And Unlabeled Data
Multi-view Clustering
Cross-modal Retrieval
Multi-train: A semi-supervised heterogeneous ensemble classifier
期刊论文
NEUROCOMPUTING, 2017, 卷号: 249, 页码: 202-211
作者:
Gu, Shenkai
;
Jin, Yaochu
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Unlabeled data
Classification
Heterogeneous ensembles
Semi-supervised learning
Tri-training
Multi-train
Distributed semi-supervised learning with kernel ridge regression
期刊论文
Journal of Machine Learning Research, 2017, 卷号: 18, 页码: 1-22
作者:
Chang, Xiangyu
;
Lin, Shao-Bo
;
Zhou, Ding-Xuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Distributed learning
Error decomposition
Kernel ridge regression
Learning theory
Semi-supervised learning
Unlabeled data
Distributed semi-supervised learning with kernel ridge regression
期刊论文
Journal of Machine Learning Research, 2017, 卷号: 18, 页码: 1-22
作者:
Chang, Xiangyu
;
Lin, Shao-Bo
;
Zhou, Ding-Xuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Distributed learning
Error decomposition
Kernel ridge regressions
Learning Theory
Semi- supervised learning
Unlabeled data
Distributed Semi-supervised Learning with Kernel Ridge Regression
期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2017, 卷号: 18
作者:
Chang, Xiangyu
;
Lin, Shao-Bo
;
Zhou, Ding-Xuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
error decomposition
unlabeled data
semi-supervised learning
learning theory
distributed learning
kernel ridge regression
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