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
数学与系统科学研究院 [3]
自动化研究所 [3]
新疆理化技术研究所 [2]
计算技术研究所 [1]
心理研究所 [1]
采集方式
OAI收割 [10]
内容类型
期刊论文 [10]
发表日期
2022 [1]
2020 [2]
2019 [1]
2017 [4]
2016 [2]
学科主题
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Accelerating Graph Processing With Lightweight Learning-Based Data Reordering
期刊论文
OAI收割
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 5-8
作者:
Zou, Mo
;
Zhang, Mingzhe
;
Wang, Rujia
;
Sun, Xian-He
;
Ye, Xiaochun
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/12/07
Instruction sets
Computational modeling
Predictive models
Big Data applications
Software
Optimization
Graph processing
reordering technique
learning-based prediction model
A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 2, 页码: 947-956
作者:
Chu, Fei
;
Dai, Bangwu
;
Ma, Xiaoping
;
Wang, Fuli
;
Ye, Bin
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2020/06/22
Predictive models
Data models
Adaptation models
Process control
Computational modeling
Integrated circuit modeling
Bayes methods
Bayesian model averaging (BMA)
minimum cost
multimodel migration
nonlinear
performance prediction
IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations (vol 10, 1259, 2019)
期刊论文
OAI收割
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 2
作者:
Wang, Qi
;
Yan, Guiying
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/05/24
long non-coding RNA
disease
association prediction
computational prediction model
diffusion model
IDLDA: An Improved Diffusion Model for Predicting LncRNA-Disease Associations
期刊论文
OAI收割
FRONTIERS IN GENETICS, 2019, 卷号: 10, 页码: 10
作者:
Wang, Qi
;
Yan, Guiying
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/05/24
long non-coding RNA
disease
association prediction
computational prediction model
diffusion model
PBHMDA: Path-Based Human Microbe-Disease Association Prediction
期刊论文
OAI收割
FRONTIERS IN MICROBIOLOGY, 2017, 卷号: 8, 页码: 10
作者:
Huang, Zhi-An
;
Chen, Xing
;
Zhu, Zexuan
;
Liu, Hongsheng
;
Yan, Gui-Ying
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/07/30
microbes
diseases
path-based measure
computational prediction model
association network
PBHMDA: Path-Based Human Microbe-Disease Association Prediction
期刊论文
OAI收割
FRONTIERS IN MICROBIOLOGY, 2017, 卷号: 8, 期号: 2, 页码: 1-10
作者:
Huang, ZA (Huang, Zhi-An)
;
Chen, X (Chen, Xing)
;
Zhu, ZX (Zhu, Zexuan)
;
Liu, HS (Liu, Hongsheng)
;
Yan, GY (Yan, Gui-Ying)
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2017/03/17
microbes
diseases
path-based measure
computational prediction model
association network
Long non-coding RNAs and complex diseases: from experimental results to computational models
期刊论文
OAI收割
BRIEFINGS IN BIOINFORMATICS, 2017, 卷号: 18, 期号: 4, 页码: 558-576
作者:
Chen, X (Chen, Xing)[ 1 ]
;
Yan, CC (Yan, Chenggang Clarence)[ 3 ]
;
Zhang, X (Zhang, Xu)[ 4 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/05/16
long non-coding RNA
complex disease
lncRNA-disease association prediction
computational model
machine learning
biological network
Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
期刊论文
OAI收割
Systems Science & Control Engineering, 2017, 卷号: -, 期号: Issue, 页码: -
作者:
Qiao H(乔红)
;
L. Hu
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/01/04
Computational Modeling
Biological Mechanism
Visual Cortex
Pain Prediction
Bio-inspired Model
Machine Learning
Neural Networks
Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
期刊论文
OAI收割
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2016, 卷号: 10
作者:
Qiao, Hong
;
Hu, Li
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2017/02/14
computational modeling
biological mechanism
visual cortex
pain prediction
bio-inspired model
machine learning
neural networks
Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
期刊论文
OAI收割
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2016, 卷号: 10, 期号: 0, 页码: 1-3
作者:
Qiao, Hong
;
Hu, Li
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2017/02/13
computational modeling
biological mechanism
visual cortex
pain prediction
bio-inspired model
machine learning
neural networks