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湖南大学 [2]
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期刊论文 [9]
发表日期
2017 [9]
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energy & f... [1]
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发表日期:2017
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RRCRank: a fusion method using rank strategy for residue-residue contact prediction
期刊论文
BMC Bioinformatics, 2017, 卷号: 18, 期号: 1
作者:
Jing,Xiaoyang
;
Dong,Qiwen
;
Lu,Ruqian
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2018/07/30
Protein residue-residue contact prediction
Learning-to-rank
Fusion method
QIG:Quantifying the Importance and Interaction of GPGPU Architecture Parameters
期刊论文
IEEE Transactions on Computer-aided design of integrated circuits and system., 2017
作者:
Zhibin Yu
;
Jing Wang
;
Lieven Eeckhout
;
Chengzhong Xu
;
Jingwen Leng
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2018/02/02
Prediction Algorithm for Software Defect Series Based on Nonlinear Weighted Ensemble Learning
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 卷号: 51, 页码: 156-161
作者:
Jia, Xiaolin
;
Fan, Shuaishuai
;
Luo, Xue
;
Zhu, Xiaoyan
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  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
Average absolute error
Ensemble classifiers
Ensemble learning
Gradient Descent method
Mean absolute differences
Non-linear regression
Prediction algorithms
Software defects
Noise Effect and Noise-Assisted Ensemble Regression in Power System Online Sensitivity Identification
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 页码: 2302-2310
作者:
Zhang, Junbo[1]
;
Chung, C. Y.[2]
;
Guan, Lin[1]
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  |  
浏览/下载:4/0
  |  
提交时间:2019/04/24
Data collinearity
locally weighted linear regression (LWLR)
noise-assisted ensemble regression (NAER)
norm-2 regularization
power system sensitivity identification
Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting
期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 1-1
作者:
Li, WD
;
Yang, X
;
Li, H
;
Su, LL
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  |  
浏览/下载:5/0
  |  
提交时间:2017/05/09
electricity demand forecasting
ensemble empirical mode decomposition (EEMD)
generalized regression neural network (GRNN)
support vector machine (SVM)
Predicting hospitality firm failure: mixed sample modelling
期刊论文
International Journal of Contemporary Hospitality Management, 2017, 卷号: 29, 期号: 7, 页码: 1770-1792
作者:
Li, Hui*
;
Xu, Yu-Hui
;
Yu, Lean
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/24
Default risk
Support vector machines
Logistic regression
Ensemble of ensembles
Bankruptcy prediction of hospitality firms
Expert systems
Ultra-short-term Wind Power Prediction Based on Dynamical Ensemble Least Square Support Vector Regression
期刊论文
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2017, 卷号: Vol.44 No.4, 页码: 79-86
作者:
Liu, R.
;
Peng, M.
;
Zhang, H.
;
Wan, X.
;
Shen, M.
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/31
Dynamical Ensemble
Dynamical time warp
Least square support vector regression
Numerical weather prediction
Ultra-short-term wind power prediction
Ultra-short-term Wind Power Prediction Based on Dynamical Ensemble Least Square Support Vector Regression
期刊论文
Journal of Hunan University. Natural Sciences, 2017, 卷号: Vol.44 No.4, 页码: 79-86
作者:
Liu Rongsheng
;
Peng Minfang
;
Zhang Haiyan
;
Wan Xun
;
Shen Meie
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/31
ultra-short-term wind power prediction
least square support vector regression
dynamical Ensemble
dynamical time warp
numerical weather prediction
Multimodal Emotion Recognition with Transfer Learning of Deep Neural Network
期刊论文
ZTE Communications, 2017, 卷号: 15, 期号: S2, 页码: 1673-5188
作者:
Huang, Jian
;
Li, Ya
;
Tao, Jianhua
;
Yi, Jianyan
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  |  
浏览/下载:1/0
  |  
提交时间:2020/06/20
deep neutral network
ensemble method
multimodal emotion recognition
transfer learning
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