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期刊论文 [16]
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浏览/检索结果:
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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
收藏
  |  
浏览/下载:14/0
  |  
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)
Emotional and Behavioral Changes in Older Adults With High Risk of Cognitive Impairment During the COVID-19 Pandemic
期刊论文
FRONTIERS IN PSYCHOLOGY, 2021, 卷号: 12, 页码: 10
作者:
Fu, Jiangning
;
Liu, Xiaomei
;
Li, Jing
;
Ma, Zhuoya
;
Li, Juan
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2021/11/12
older adults
high risk of cognitive impairment
COVID-19
emotional states
protective behaviors
mental health
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning
会议论文
ELECTR NETWORK, 2021
作者:
Cui B(崔波)
;
Hu GY(胡古月)
;
Yu S(余山)
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/06/16
Supervised latent Dirichlet allocation with a mixture of sparse softmax
期刊论文
NEUROCOMPUTING, 2018, 卷号: 312, 页码: 324-335
作者:
Li, Xiaoxu
;
Ma, Zhanyu
;
Peng, Pai
;
Guo, Xiaowei
;
Huang, Feiyue
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  |  
浏览/下载:38/0
  |  
提交时间:2019/11/15
Supervised topic model
Ensemble classification
Mixture of softmax model
Latent Dirichlet allocation
UC-LTM: Unidimensional clustering using latent tree models for discrete data
期刊论文
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2018, 卷号: 92, 页码: 392-409
作者:
Poon, Leonard K. M.
;
Liu, April H.
;
Zhang, Nevin L.
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  |  
浏览/下载:5/0
  |  
提交时间:2019/08/22
Unidimensional clustering
Latent tree models
Latent class models
Probabilistic graphical models
Unsupervised learning
Modelling the Success of Learning Management Systems: Application of Latent Class Segmentation Using FIMIX-PLS
期刊论文
Interactive Learning Environments, 2018, 卷号: Vol.26 No.1, 页码: 135-147
作者:
Ramírez-Correa,PatricioE.
;
Arenas-Gaitán,Jorge
;
Rondán-Cataluña,FranciscoJavier
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/12/24
Integrated
Learning
Systems
Information
Systems
Foreign
Countries
Student
Attitudes
Electronic
Learning
Undergraduate
Students
Engineering
Education
Student
Surveys
Information
Technology
Pretests
Posttests
Interviews
Measures
Multivariate
Analysis
Structural
Equation
Models
Heterogeneous
Grouping
Success
Technology
Uses
in
Education
Least
Squares
Statistics
Statistical
Analysis
Joint analysis of panel count data with an informative observation process and a dependent terminal event
期刊论文
LIFETIME DATA ANALYSIS, 2017, 卷号: 23, 期号: 4, 页码: 560-584
作者:
Zhou, Jie
;
Zhang, Haixiang
;
Sun, Liuquan
;
Sun, Jianguo
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/07/30
Estimating equation
Informative observation process
Joint modeling
Panel count data
Terminal event
Conditional High-Order Boltzmann Machines for Supervised Relation Learning
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 9, 页码: 4297-4310
作者:
Huang, Yan
;
Wang, Wei
;
Wang, Liang
;
Tan, Tieniu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2017/06/19
Deep Learning
High-order Boltzmann Machine
Relation Learning
Face Verification
Action Similarity Labeling
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning
期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 卷号: 40, 期号: 7, 页码: 1625-1638
作者:
Peng PX(彭佩玺)
;
Tian YH(田永鸿)
;
Tao Xiang
;
Wang YW(王耀威)
;
Massimiliano Pontil
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2018/01/08
Attribute Learning
Dictionary Learning
Multi-task Learning
Zero-shot Learning
Person Re-identification
Transfer Learning
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
作者:
Zhao, Fang
;
Huang, Yongzhen
;
Wang, Liang
;
Xiang, Tao
;
Tan, Tieniu
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2016/10/20
Representation Learning
Video Analysis
Restricted Boltzmann Machine
Sparse Bayesian Learning
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