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北京航空航天大学 [4]
湖南大学 [3]
植物研究所 [3]
西安交通大学 [2]
大连理工大学 [2]
青藏高原研究所 [2]
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期刊论文 [29]
会议论文 [6]
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2018 [35]
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发表日期:2018
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Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia
期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 卷号: 38, 期号: 13, 页码: 4891-4902
作者:
Wang, Bin
;
Zheng, Lihong
;
Liu, De Li
;
Ji, Fei
;
Clark, Anthony
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
GCMs
machine learning
multi-model ensemble
random forest
support vector machine
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 期号: 0, 页码: 131-140
作者:
Li, XY (Li, Xiangyi)
;
He, Y (He, Yue)
;
Zeng, ZZ (Zeng, Zhenzhong)
;
Lian, X (Lian, Xu)
;
Wang, XH (Wang, Xuhui)
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/05/21
Land Evapotranspiration
Global Evapotranspiration
Worldwide Analysis
Soil Evaporation
Climate-change
Water
Model
Carbon
Fluxes
Energy
A novel technique to prune variable selection ensembles
会议论文
Guilin, Guangxi, China, July 29, 2017 - July 31, 2017
作者:
Ren, Liang-Pin
;
Zhang, Chun-Xia
;
Xuan, Hai-Yan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/11/15
Regression analysis
Importance measure
Linear regression models
Reference vectors
Selective ensembles
Simulated datasets
State-of-the-art algorithms
Variable selection
Variable selection problems
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2018, 卷号: 302, 页码: 75-81
作者:
Yao, Dongren
;
Calhoun, Vince D.
;
Fu, Zening
;
Du, Yuhui
;
Sui, Jing
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2018/10/10
Multi-class Classification
Feature Selection
Alzheimer's Disease(Ad)
Mild Cognitive Impairment (Mci)
Structural Mri
Hierarchical Classification
Relative Importance
Short-term wind speed prediction using an extreme learning machine model with error correction
期刊论文
ENERGY CONVERSION AND MANAGEMENT, 2018, 卷号: 162, 期号: 0, 页码: 239-250
作者:
Li, X (Li, Xin)
;
Wang, LL (Wang, Lili)
;
Bai, YL (Bai, Yulong)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/06/13
Neural-network
Feature-selection
Search Algorithm
Time-series
Decomposition
Elm
Emd
Optimization
System
China
MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae
期刊论文
METABOLIC ENGINEERING, 2018
作者:
Zhou, Yikang
;
Li, Gang
;
Dong, Junkai
;
Xing, Xin-hui
;
Dai, Junbiao
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/01/31
An improved efficient rotation forest algorithm to predict the interactions among proteins
期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 10, 页码: 3373-3381
作者:
Wang, L (Wang, Lei)
;
You, ZH (You, Zhu-Hong)
;
Xia, SX (Xia, Shi-Xiong)
;
Chen, X (Chen, Xing)
;
Yan, X (Yan, Xin)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2018/06/20
Rotation Forest
Ensemble Learning
Bioinformatics
Support Vector Machine
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 期号: x, 页码: 131-140
作者:
Li, Xiangyi
;
He, Yue
;
Zeng, Zhenzhong
;
Lian, Xu
;
Wang, Xuhui
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2018/07/31
China Eddy Covariance
Evapotranspiration
Model Tree Ensemble (Mte)
Spatio-temporal Change
Land Surface Model
Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 卷号: 259, 页码: 131-140
作者:
Li, Xiangyi
;
He, Yue
;
Zeng, Zhenzhong
;
Lian, Xu
;
Wang, Xuhui
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2018/11/02
China Eddy covariance
Evapotranspiration
Model tree ensemble (MTE)
Spatio-temporal change
Land surface model
HEMD: a highly efficient random forest-based malware detection framework for Android
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 30, 期号: 11, 页码: 3353-3361
作者:
Zhu, HJ (Zhu, Hui-Juan)[ 1,2,3 ]
;
Jiang, TH (Jiang, Tong-Hai)[ 1,3 ]
;
Ma, B (Ma, Bo)[ 1,3 ]
;
You, ZH (You, Zhu-Hong)[ 1,3 ]
;
Shi, WL (Shi, Wei-Lei)[ 1 ]
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/07/10
Random forest
Malware detection
Android
Support vector machine
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