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Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Lin, Xixun;  Li, Zhao;  Zhang, Peng;  Liu, Luchen;  Zhou, Chuan;  Wang, Bin;  Tian, Zhihong
收藏  |  浏览/下载：99/0  |  提交时间：2023/02/07
Task analysis  Kernel  Training  Decoding  Stochastic processes  Predictive models  Computational modeling  Few-shot learning  graph classification  graph neural networks (GNNs)  neural process (NP)  
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 3, 页码: 1080-1095
作者:  Du, Xingbo;  Yan, Junchi;  Zhang, Rui;  Zha, Hongyuan
收藏  |  浏览/下载：120/0  |  提交时间：2022/04/02
Task analysis  Predictive models  Social network services  Peer-to-peer computing  Optimization  Computational modeling  Computer science  Link prediction  network alignment  cross-network embedding  skip-gram  biased random walk  
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：134/0  |  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  
Risk Models for the Prize Collecting Steiner Tree Problems with Interval Data 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2014, 卷号: 30, 期号: 1, 页码: 1-26
作者:  AlvarezMiranda Eduardo;  CandiaVejar Alfredo;  Chen Xujin;  Hu Xiaodong;  Li Bi
收藏  |  浏览/下载：99/0  |  提交时间：2021/01/14
SERIES-PARALLEL GRAPHS  SHORTEST-PATH PROBLEM  COMPUTATIONAL-COMPLEXITY  NETWORK  OPTIMIZATION  CONSTRAINTS  ALGORITHMS  FLOWS  uncertainty modeling  prize collecting Steiner tree  interval data  series-parallel graphs  polynomial-time solvability