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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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Kernel reconstruction learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 522, 页码: 1-10
作者:
Wu, Yun
;
Xiong, Shifeng
收藏
  |  
浏览/下载:102/0
  |  
提交时间:2023/02/07
Kernel method
Representer theorem
Interpolation
Classification
Density estimation
Sequential algorithm
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Zhang, Chengyuan
;
Wang, Shouyang
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Multi-step ahead strategies
MIMO
DIRMO
Extreme learning machine
VPNets: Volume-preserving neural networks for learning source-free dynamics
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2022, 卷号: 416, 页码: 12
作者:
Zhu, Aiqing
;
Zhu, Beibei
;
Zhang, Jiawei
;
Tang, Yifa
;
Liu, Jian
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  |  
浏览/下载:62/0
  |  
提交时间:2023/02/07
Deep learning
Neural networks
Discovery of dynamics
Source-free dynamics
Volume-preserving
Efficient Algorithm for Approximating Nash Equilibrium of Distributed Aggregative Games
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 13
作者:
Xu, Gehui
;
Chen, Guanpu
;
Qi, Hongsheng
;
Hong, Yiguang
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  |  
浏览/下载:40/0
  |  
提交时间:2023/02/07
Games
Approximation algorithms
Heuristic algorithms
Optimization
Standards
Distributed algorithms
Convergence
-Nash equilibrium (NE)
aggregative game
approximation
distributed algorithm
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)
A fast Euler-Maruyama method for fractional stochastic differential equations
期刊论文
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 页码: 19
作者:
Zhang, Jingna
;
Tang, Yifa
;
Huang, Jianfei
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2023/02/07
Fractional stochastic differential equations
Euler-Maruyama method
Sum-of-exponentials approximation
Strong convergence
Computational efficiency
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
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  |  
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
On the acceleration of the Barzilai-Borwein method
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 24
作者:
Huang, Yakui
;
Dai, Yu-Hong
;
Liu, Xin-Wei
;
Zhang, Hongchao
收藏
  |  
浏览/下载:137/0
  |  
提交时间:2022/04/02
Barzilai-Borwein method
Gradient methods
Finite termination
Quadratic optimization
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
作者:
Zhang, Miao
;
Li, Huiqi
;
Pan, Shirui
;
Chang, Xiaojun
;
Zhou, Chuan
;
Ge, Zongyuan
;
Su, Steven
收藏
  |  
浏览/下载:146/0
  |  
提交时间:2021/10/26
Computer architecture
Training
Optimization
Neural networks
Search methods
Australia
Germanium
AutoML
neural architecture search
continual learning
catastrophic forgetting
novelty search
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)