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Nutrients and metals interactions between water and sediment phases: An urban river case study
期刊论文
ENVIRONMENTAL POLLUTION, 2019, 卷号: 251, 页码: 354-362
作者:
Wijesiri, Buddhi
;
Liu, An
;
Deilami, Kaveh
;
He, Beibei
;
Hong, Nian
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2020/09/10
Metals
Nutrients
River sediments
Urban water pollution
Pollutant interactions
Causation-Based Monitoring and Diagnosis for Multivariate Categorical Processes With Ordinal Information
期刊论文
IEEE Transactions on Automation Science and Engineering, 2018
作者:
Xian, Xiaochen
;
Li, Jian
;
Liu, Kaibo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
Bayesian Networks (bns)
Categorical variables
Causal relationships
Conditional probabilities
directional shift
Latent variable
Monitoring and diagnosis
Quality control applications
A decision-making framework to model environmental flow requirements in oasis areas using bayesian networks
期刊论文
Journal of hydrology, 2016, 卷号: 540, 页码: 1209-1222
作者:
Xue, Jie
;
Gui, Dongwei
;
Zhao, Ying
;
Lei, Jiaqiang
;
Zeng, Fanjiang
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  |  
浏览/下载:42/0
  |  
提交时间:2019/05/09
Bayesian network
Environmental flows
Oasis
Decision-making
Northwest china
Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping
会议论文
2014 IEEE International Conference on Data Mining
作者:
Jie Yang
;
Henry C.M. Leung
;
S.M. Yiu
;
Yunpeng Cai
;
Francis Y.L. Chin
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  |  
浏览/下载:11/0
  |  
提交时间:2015/09/02
Integrating spatial relations into case-based reasoning to solve geographic problems
SCI/SSCI论文
2012
Du Y.
;
Liang F.
;
Sun Y.
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  |  
浏览/下载:14/0
  |  
提交时间:2012/09/04
Case-based reasoning
Geographic problem solving
GIS
Spatial analysis
Rough set theory
bayesian networks
satellite imagery
system
sets
features
gis
Integrating spatial relations into case-based reasoning to solve geographic problems
SCI/SSCI论文
2012
Du Y.
;
Liang F.
;
Sun Y.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2012/09/04
Case-based reasoning
Geographic problem solving
GIS
Spatial analysis
Rough set theory
bayesian networks
satellite imagery
system
sets
features
gis
An algorithm of Bayesian networks parameters learning based on confidence interval (EI CONFERENCE)
会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Wang T.
;
Guo L.
;
Li Y.
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  |  
浏览/下载:12/0
  |  
提交时间:2013/03/25
This paper focuses on an interval parameter estimation of Bayesian Networks (BNs). Contrast to the point estimation used in most parameter learning algorithms
interval estimation algorithm (IEA) estimates the output nodes parameter of BNs with an interval estimation based on confidence level
it can raise BNs inference accuracy slightly as the prior knowledge is absence. 2010 IEEE.
面向遥感图像BNs分类的预处理技术及算法实现
期刊论文
计算机工程, 2006
李启青
;
程承旗
;
郭仕德
;
何华伟
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  |  
浏览/下载:2/0
  |  
提交时间:2015/10/23
遥感图像
分类
贝叶斯网络
预处理
实现
Using Tilt for Automatic Emphasis Detection with Bayesian Networks (CPCI-S收录)
会议
作者:
Ning, Yishuang[1,2]
;
Wu, Zhiyong[1,2,3]
;
Lou, Xiaoyan[4]
;
Meng, Helen[1,3]
;
Jia, Jia[1,2]
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/04/11
emphasis
emphasis detection
tilt
Bayesian networks (BNs)
support vector machines (SVMs)
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