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Unweighted estimation based on optimal sample under measurement constraints 期刊论文
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2022, 页码: 19
作者:  Wang, Jing;  Wang, HaiYing;  Xiong, Shifeng
收藏  |  浏览/下载：84/0  |  提交时间：2023/02/07
Generalized linear models  massive data  martingale central limit theorem  
Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:  Nie, Xiangli;  Fan, Mingyu;  Huang, Xiayuan;  Yang, Wenjing;  Zhang, Bo;  Ma, Xiaoshuang
收藏  |  浏览/下载：82/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Heuristic algorithms  Data models  Manifolds  Semisupervised learning  Training  Online active learning  online multiview learning  online semisupervised learning (SSL)  polarimetric synthetic aperture radar (PolSAR) data classification  
Big Data in Forecasting Research: A Literature Review 期刊论文
BIG DATA RESEARCH, 2022, 卷号: 27, 页码: 30
作者:  Tang, Ling;  Li, Jieyi;  Du, Hongchuan;  Li, Ling;  Wu, Jun;  Wang, Shouyang
收藏  |  浏览/下载：133/0  |  提交时间：2022/04/02
Big data  Forecasting  Literature review  Prediction models  Information  
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian
收藏  |  浏览/下载：87/0  |  提交时间：2023/02/07
Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification  
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B.
收藏  |  浏览/下载：136/0  |  提交时间：2022/04/02
Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)  
Online Active Learning for Drifting Data Streams 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Sanmin;  Xue, Shan;  Wu, Jia;  Zhou, Chuan;  Yang, Jian;  Li, Zhao;  Cao, Jie
收藏  |  浏览/下载：141/0  |  提交时间：2022/04/02
Labeling  Data models  Uncertainty  Biological system modeling  Computational modeling  Cognition  Adaptation models  Active learning  concept drift  data stream classification  online incremental learning  
Evaluating Performances and Importance of Venture Capitals: A Complex Network Approach 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 卷号: 68, 期号: 5, 页码: 2060-2068
作者:  Liu, Jiaqi;  Li, Xuerong;  Lu, Linyuan;  Dong, Jichang;  Lu, Jinhu
收藏  |  浏览/下载：122/0  |  提交时间：2021/10/26
Venture capital  Investment  Complex networks  Companies  Industries  Technological innovation  Data models  Venture capital  co-investment network  investment performance  investment behavior  
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
作者:  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：175/0  |  提交时间：2021/04/26
Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior  
Distribution-Free One-Pass Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 951-963
作者:  Zhao, Peng;  Wang, Xinqiang;  Xie, Siyu;  Guo, Lei;  Zhou, Zhi-Hua
收藏  |  浏览/下载：166/0  |  提交时间：2021/04/26
Data models  Random variables  Proposals  Training  Prediction algorithms  Task analysis  Compressed sensing  Distribution change  one-pass learning  robust learning  non-stationary environments  
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Min, Wenwen;  Wan, Xiang;  Chang, Tsung-Hui;  Zhang, Shihua
收藏  |  浏览/下载：135/0  |  提交时间：2022/04/02
Gene expression  Biology  Biological system modeling  Principal component analysis  Mathematical model  Data models  Big Data  Absolute-valued graph regularization  graph regularization  sparse learning  structured sparse singular value decomposition (SVD)