中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [10]
计算技术研究所 [5]
数学与系统科学研究院 [3]
心理研究所 [2]
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
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OAI收割 [24]
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期刊论文 [19]
学位论文 [3]
会议论文 [2]
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2024 [2]
2023 [2]
2022 [3]
2021 [5]
2020 [2]
2019 [1]
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Susceptibility modeling of hydro-morphological processes considered river topology
期刊论文
OAI收割
GEO-SPATIAL INFORMATION SCIENCE, 2024, 页码: 20
作者:
Wang, Nan
;
Li, Mingxiao
;
Zhang, Hongyan
;
Cheng, Weiming
;
Du, Chao
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2025/03/31
Hydro-morphological processes (HMP)
river topology
deep learning
susceptibility
The Yangtze River Basin
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 7, 页码: 5062-5079
作者:
Wen, Peisong
;
Xu, Qianqian
;
Yang, Zhiyong
;
He, Yuan
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/06
Optimization
Stability analysis
Stochastic processes
Measurement
Standards
Approximation algorithms
Machine learning algorithms
Machine learning
AUPRC
learning to rank
algorithm-dependent generalization
stability
Positive-Unlabeled Learning With Label Distribution Alignment
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15345-15363
作者:
Jiang, Yangbangyan
;
Xu, Qianqian
;
Zhao, Yunrui
;
Yang, Zhiyong
;
Wen, Peisong
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/05/20
Estimation
Stochastic processes
Optimization
Computer science
Predictive models
Information processing
Fasteners
Positive-unlabeled learning
weakly supervised learning
binary classification
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者:
Xiaoyu Jiang
;
Xiangyin Kong
;
Zhiqiang Ge
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/05/29
Curse of dimensionality
data augmentation
data-driven modeling
industrial processes
machine learning
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices
期刊论文
OAI收割
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:
Yuan, Ye
;
He, Qiang
;
Luo, Xin
;
Shang, Mingsheng
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Big Data
Data models
Stochastic processes
Training
Software algorithms
Big data
latent factor analysis
generally multilayered structure
deep forest
multilayered extreme learning machine
randomized-learning
high-dimensional and sparse matrix
stochastic gradient descent
randomized model
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
OAI收割
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:29/0
  |  
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)
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:
Li, Yuze
;
Wang, Shouyang
;
Wei, Yunjie
;
Zhu, Qing
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/04/02
Gold
Forecasting
Autoregressive processes
Predictive models
Signal resolution
Deep learning
Mathematical model
Algorithmic trading
bidirectional gated recurrent unit (BiGRU)
gold futures price forecasting
variational mode decomposition (VMD)
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:
Cheng, Daning
;
Li, Shigang
;
Zhang, Hanping
;
Xia, Fen
;
Zhang, Yunquan
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/12/01
Training
Scalability
Machine learning
Machine learning algorithms
Stochastic processes
Task analysis
Upper bound
Parallel training algorithms
training dataset
scalability
stochastic optimization methods
A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning
期刊论文
OAI收割
FRONTIERS IN PSYCHOLOGY, 2021, 卷号: 12, 页码: 17
作者:
Wang, Lituan
;
Feng, Yangqin
;
Fu, Qiufang
;
Wang, Jianyong
;
Sun, Xunwei
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/06/09
sequence learning
abstract processes
chunking processes
simple recurrent network
dual simple recurrent