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大连理工大学 [4]
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山东大学 [3]
沈阳自动化研究所 [3]
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期刊论文 [16]
会议论文 [6]
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2019 [22]
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HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems
期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 6, 页码: 1167-1184
作者:
Ren, Rui
;
Cheng, Jiechao
;
He, Xi-Wen
;
Wang, Lei
;
Zhan, Jian-Feng
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/12/10
Big Data system
spatio-temporal correlation
rule-based diagnosis
machine learning
Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning
会议论文
International Convention Centre (ICC) Sydney, 20-25 Sep. 2019
作者:
Zhang YK(张颐康)
;
Zhang H(张恒)
;
Liu YG(刘永革)
;
Yang Q(杨青)
;
Liu CL(刘成林)
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2020/01/06
Oracle Character Recognition
Dense Convolutional Network
Deep Metric Learning
Nearest-neighbor Classifier
Lane change decision-making through deep reinforcement learning with rule-based constraints
会议论文
Budapest, Hungary, 2019-7
作者:
Wang JJ(王俊杰)
;
Zhang QC(张启超)
;
Zhao DB(赵冬斌)
;
Chen YR(陈亚冉)
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  |  
浏览/下载:0/0
  |  
提交时间:2023/05/30
Lane Change
Decision-making
Deep Reinforcement Learning
Deep Q-Network
Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features
期刊论文
FRONTIERS IN PSYCHOLOGY, 2019, 卷号: 10, 页码: 12
作者:
Zhou, Xiaoyan
;
Fu, Qiufang
;
Rose, Michael
;
Sun, Yuqi
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  |  
浏览/下载:56/0
  |  
提交时间:2019/03/11
category learning
incidental category learning
the prototype distortion task
edge-based features
surface-based features
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhang, Rui
;
Wang, Sen
;
Cheng, Chun-tian
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  |  
浏览/下载:57/0
  |  
提交时间:2019/08/15
Hydropower reservoir
Operation rule derivation
k-Means clustering
Extreme learning machine
Particle swarm optimization
Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models
期刊论文
FRONTIERS IN GENETICS, 2019, 卷号: 10
作者:
Chen, Lei
;
Pan, Xiaoyong
;
Zhang, Yu-Hang
;
Hu, Xiaohua
;
Feng, KaiYan
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/05
Patient-derived tumor xenograft
gene expression profile
Monte Carlo feature selection
support vector machine
rule learning algorithm
Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir
期刊论文
WATER, 2019, 卷号: 11
作者:
Niu, Wen-Jing
;
Feng, Zhong-Kai
;
Feng, Bao-Fei
;
Min, Yao-Wu
;
Cheng, Chun-Tian
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
hydropower reservoir
operation rule derivation
multiple linear regression
artificial neural network
extreme learning machine
support vector machine
dynamic programming
Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 77, 页码: 188-204
作者:
Wang, Yuyan
;
Wang, Dujuan
;
Geng, Na
;
Wang, Yanzhang
;
Yin, Yunqiang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Prostate cancer detection
Ensemble learning
Stacking
Rule extraction
Multi-objective optimization
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhang, Rui
;
Wang, Sen
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Hydropower reservoir
Operation rule derivation
k-Means clustering
Extreme learning machine
Particle swarm optimization
Dominance rule and opposition-based particle swarm optimization for two-stage assembly scheduling with time cumulated learning effect
期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 页码: 9617-9628
作者:
Wang, Dujuan
;
Qiu, Huaxin
;
Wu, Chin-Chia
;
Lin, Win-Chin
;
Lai, Kunjung
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Two-stage assembly
Flowshop scheduling
Time cumulated learning function
Dominance rule
Particle swarm optimization
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