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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 [4]
自动化研究所 [2]
沈阳自动化研究所 [2]
长春光学精密机械与物... [1]
软件研究所 [1]
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OAI收割 [10]
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期刊论文 [5]
会议论文 [4]
学位论文 [1]
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2022 [2]
2021 [1]
2018 [1]
2016 [1]
2015 [1]
2011 [1]
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A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables
期刊论文
OAI收割
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 卷号: 168, 页码: 14
作者:
Su, Miaomiao
;
Wang, Qihua
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/04/02
High dimensions
Missing at random
Marginal response quantile
Optimal weights
Selection probability function
On the System Performance of Mobile Edge Computing in an Uplink NOMA WSN With a Multiantenna Access Point Over Nakagami-
m
Fading
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 668-685
作者:
Van-Truong Truong, Van Nhan Vo, Dac-Binh Ha, Chakchai So-In
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/03/09
Mobile edge computing (MEC),Nakagami-
m
fading,offloading,selection combining (SC)/maximal ratio combining (MRC),successful computation probability (SCP),uplink nonorthogonal multiple access (NOMA),wireless sensor networks (WSNs)
Robust model selection with covariables missing at random
期刊论文
OAI收割
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2021, 页码: 19
作者:
Liang, Zhongqi
;
Wang, Qihua
;
Wei, Yuting
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/04/02
Model selection
Inverse probability weight
Model misspecification
Missing at random
Kullback-Leibler divergence
Robust
Application of Artificial Bee Colony Algorithm Based on Co-Evolution in Automatic Layout of Building Multiple Pipelines
会议论文
OAI收割
Guiyang, China, July 2-4, 2018
作者:
Wang, Zhe
;
Wang CT(王长涛)
;
Han ZH(韩忠华)
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2018/12/24
Probability selection
Initial pipeline path
Coevolution
Artificial bee colony algorithm
EMERGING BEHAVIORAL CONSENSUS OF EVOLUTIONARY DYNAMICS ON COMPLEX NETWORKS
期刊论文
OAI收割
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2016, 卷号: 54, 期号: 6, 页码: 3258-3272
作者:
Tan, Shaolin
;
Lu, Jinhu
;
Lin, Zongli
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/07/30
evolutionary dynamics
complex networks
consensus state selection
fixation probability
An effective DE algorithm for hybrid flow shop load balancing scheduling problem
会议论文
OAI收割
International Conference on Electronic Science and Automation Control (ESAC), Zhengzhou, PEOPLES R CHINA, Augest 15-16, 2015
作者:
Han ZH(韩忠华)
;
Dong XT(董晓婷)
;
Lin S(林硕)
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2015/12/25
HFS scheduling problem
load balancing
selection probability
DE algorithm
DPSADE algorithm
基于高斯混合模型的高维数据概率密度估计
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011
作者:
刘晓华
收藏
  |  
浏览/下载:334/0
  |  
提交时间:2015/09/02
概率密度估计
高斯混合模型
EM算法
共享子空间混合密度模型
鉴别学习
最小分类错误准则
梯度下降
模型选择
启发式交叉验证
Probability Density Estimation
Gaussian Mixture Model
EM Algoithm
Pooled Subspace Mixture Density Model
Discriminative Learning
Minimum Classification Error Criterion
Gradient Descent
Model Selection
Heuristic Cross-Validation
MARKOWITZ STRATEGIES REVISED
期刊论文
OAI收割
ACTA MATHEMATICA SCIENTIA, 2009, 卷号: 29, 期号: 4, 页码: 817-828
作者:
Yan Jia-an
;
Zhou Xunyu
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2018/07/30
continuous-time portfolio selection
Markowitz efficient strategies
goal-reaching probability
stopping time
expected loss
An efficient discrete particle swarm algorithm for task assignment problems (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE International Conference on Granular Computing, GRC 2009, August 17, 2009 - August 19, 2009, Nanchang, China
作者:
Wang C.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
Task Assignment Problems (TAPs) in distributed computer system are general NP-hard and usually modeled as integer programming discrete problems. Many algorithms are proposed to resolve those problems. Discrete particle swarm algorithm (DPS) is a newly developed method to solve constraint satisfaction problem (CSP) which has advantage on search capacity and can find more solutions. We proposed an improved DPS to solve TAP in this paper. DPS has a special operator namely coefficient multiplying speed
which is designed for CSP but does not exist in other discrete problems. Thus we redefined a coefficient multiplying speed operator with probability selection. We analyzed the speed and position updating formula then we derived a refined position updating formula. Several experiments are carried out to test our DPS. Experimental results show that our algorithm has more efficient search capacity
higher success rate
less running time and more robust.
selection algorithm for anycast relay routing
会议论文
OAI收割
23rd IEEE International Performance, Computing, and Communications Conference (IPCCC 2004), Phoenix, AZ, APR 15-17,
Zheng JP
;
Li KQ
;
Wu ZM
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2011/07/29
IPv6
anycast relay routing
anycast server
probability analysis
replicated service
selection algorithms
service discovery
Internet
network servers
probability
telecommunication network routing
telecommunication services