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期刊论文 [39]
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Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
期刊论文
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:
Liu, Jing-Jing
;
Yao, Jie-Peng
;
Liu, Jin-Hang
;
Wang, Zhong-Yi
;
Huang, Lan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/03/27
Missing time series data
Small samples
Imputation
Classification
Gradient penalized adversarial Multitasking
A differentially private nonnegative matrix factorization for recommender system
期刊论文
Information Sciences, 2022, 卷号: 592, 页码: 21-35
作者:
Ran, Xun
;
Wang, Yong
;
Zhang, Leo Yu
;
Ma, Jun
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  |  
浏览/下载:34/0
  |  
提交时间:2022/04/21
Benchmarking
Collaborative filtering
Economic and social effects
Information services
Large dataset
Matrix algebra
Matrix factorization
Privacy-preserving techniques
Differential privacies
Factorization methods
Filtering problems
Imputation
Non-negativity
Nonnegative matrix factorization
Objective functions
Personalized information services
Polynomial expression
User data
Invited Commentary: Estimation and Bounds Under Data Fusion Comment
期刊论文
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2021, 页码: 5
作者:
Miao, Wang
;
Li, Wei
;
Hu, Wenjie
;
Wang, Ruoyu
;
Geng, Zhi
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  |  
浏览/下载:7/0
  |  
提交时间:2022/06/21
bounds
data fusion
epidemiologic methods
imputation
Energy Consumption Prediction of a CNC Machining Process With Incomplete Data
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 987-1000
作者:
Jian Pan
;
Congbo Li
;
Ying Tang
;
Wei Li
;
Xiaoou Li
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  |  
浏览/下载:55/0
  |  
提交时间:2021/04/09
Energy consumption prediction
incomplete data
generative adversarial imputation nets (GAIN)
gene expression programming (GEP)
Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 52, 期号: 7, 页码: 4092-4104
作者:
Zhang, Zuo-Wei
;
Tian, Hong-Peng
;
Yan, Ling-Zhi
;
Martin, Arnaud
;
Zhou, Kuang
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  |  
浏览/下载:4/0
  |  
提交时间:2022/03/01
Training
Reliability
Estimation
Reliability theory
Software reliability
Evidence theory
Optimization methods
Credal classification
evidence theory (ET)
missing data
missing values
multiple imputation
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:
Chen, Yuanyuan
;
Lv, Yisheng
;
Wang, Fei-Yue
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  |  
浏览/下载:24/0
  |  
提交时间:2020/06/02
Generators
Data models
Gallium nitride
Generative adversarial networks
Training
Loss measurement
Biological system modeling
Parallel data
generative adversarial networks
traffic flow imputation
data augmentation
deep learning
Imputations of missing values using a tracking-removed autoencoder trained with incomplete data
期刊论文
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 54-65
作者:
Lai, Xiaochen
;
Wu, Xia
;
Zhang, Liyong
;
Lu, Wei
;
Zhong, Chongquan
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  |  
浏览/下载:14/0
  |  
提交时间:2019/12/02
Incomplete data
Missing value
Imputation
Tracking-removed autoencoder
Data modeling
ELM-PSO-FCM based missing values imputation for byproduct gas flow data analysis
会议论文
Chengdu, China, March 15-17, 2019
作者:
Hu JT(胡静涛)
;
Sun XY(孙雪莹)
;
Wang Z(王卓)
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  |  
浏览/下载:29/0
  |  
提交时间:2019/07/14
Missing data
Imputation
Fuzzy c-means
PSO
Extreme learning machine
Sparse Data Recommendation by Fusing Continuous Imputation Denoising Autoencoder and Neural Matrix Factorization
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9
作者:
Wan, Xinyue[1]
;
Zhang, Bofeng[2]
;
Zou, Guobing[3]
;
Chang, Furong[4]
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  |  
浏览/下载:3/0
  |  
提交时间:2019/04/22
recommender systems
denoising autoencoder
deep neural networks
data imputation
matrix factorization
implicit feedback
APPLICATION OF IMPROVED MULTIPLE IMPUTATION METHOD IN THE ESTIMATION OF THE OUTSTANDING CLAIMS RESERVE WITH MISSING DATA
期刊论文
JOURNAL OF NONLINEAR AND CONVEX ANALYSIS, 2019, 卷号: 20, 期号: 7, 页码: 1405-1413
作者:
Yan, Chun
;
Yang, Xiaowei
;
Liu, Wei
;
Liu, Jiahui
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
Missing data
Multiple imputation method
Chain ladder method
Generalized linear mode
R language
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