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
地理科学与资源研究所 [3]
遥感与数字地球研究所 [1]
国家天文台 [1]
自动化研究所 [1]
近代物理研究所 [1]
采集方式
OAI收割 [7]
内容类型
期刊论文 [6]
SCI/SSCI论文 [1]
发表日期
2023 [1]
2021 [1]
2020 [1]
2018 [1]
2015 [2]
2013 [1]
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学科主题
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Insighting Drivers of Population Exposure to Ambient Ozone (O3) Concentrations across China Using a Spatiotemporal Causal Inference Method
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 19, 页码: 4871
作者:
Li, Junming
;
Xue, Jing
;
Wei, Jing
;
Ren, Zhoupeng
;
Yu, Yiming
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/01/04
ground-level ozone
atmospheric remote sensing
Bayesian spatiotemporal LASSO regression
spatiotemporal causal inference
spatiotemporal propensity score matching
Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy
期刊论文
OAI收割
CANCER MEDICINE, 2021, 页码: 11
作者:
Su, Qiang
;
Liu, Zhenyu
;
Chen, Chi
;
Gao, Han
;
Zhu, Yongbei
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/11/03
biochemical recurrence-free survival
gene signature
LASSO-Cox regression
primary prostate cancer
radical therapy
Gene signature for prognosis in comparison of pancreatic cancer patients with diabetes and non-diabetes
期刊论文
OAI收割
PEERJ, 2020, 卷号: 8, 页码: 16
作者:
Yang, Mingjun
;
Song, Boni
;
Liu, Juxiang
;
Bing, Zhitong
;
Wang, Yonggang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/12/13
PC
Diabetes
LASSO Cox regression
Prognosis index
Diabetes
LASSO Cox regression
Prognosis index
Extraction of Urban Waterlogging Depth from Video Images Using Transfer Learning
期刊论文
OAI收割
WATER, 2018, 卷号: 10, 期号: 10, 页码: 11
作者:
Jiang, Jingchao
;
Liu, Junzhi
;
Qin, Cheng-Zhi
;
Wang, Dongliang
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/05/23
urban waterlogging depth
video image
transfer learning
lasso regression
Toward creating simpler hydrological models: A LASSO subset selection approach
SCI/SSCI论文
OAI收割
2015
作者:
Bardsley W. E.
;
Vetrova, V.
;
Liu, S.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2015/12/09
Model simplification
Linear basis functions
Linear LASSO
Subset
selection
Finite mixture distributions
Linear programming
Runoff
model
Groundwater model
environmental systems
regression shrinkage
variable selection
stable
estimator
unit-hydrograph
linear-models
complexity
uncertainty
calibration
simplicity
RPC Estimation via l(1)-Norm-Regularized Least Squares (L1LS)
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 卷号: 53, 期号: 8, 页码: 217-228
作者:
Long, Tengfei
;
Jiao, Weili
;
He, Guojin
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2016/04/20
Compressive sensing
Lasso via the least angle regression (LARS)
least absolute shrinkage and selection operator (Lasso)
rational polynomial coefficients (RPCs)
variable selection
l(1)-norm regularization
Variable selection in high-dimensional partially linear additive models for composite quantile regression
期刊论文
OAI收割
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2013, 卷号: 65, 页码: 56-67
作者:
Guo, Jie
;
Tang, Manlai
;
Tian, Maozai
;
Zhu, Kai
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2016/11/17
Adaptive Lasso
Composite quantile regression
High-dimension
Semiparametric additive partial linear model
Spline approximation
Variable selection