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科研机构
自动化研究所 [3]
兰州理工大学 [2]
地理科学与资源研究所 [1]
内容类型
期刊论文 [6]
发表日期
2021 [6]
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发表日期:2021
内容类型:期刊论文
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A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 9
作者:
Liang, Jing
;
Tang, Ying
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浏览/下载:34/0
  |  
提交时间:2022/01/27
Games
Task analysis
Problem-solving
Petri nets
Random forests
Training
Radio frequency
Learning optimization
Petri nets (PNs)
serious game (SG)
Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460
作者:
Nie, Xiangli
;
Gao, Ruofei
;
Wang, Rui
;
Xiang, Deliang
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  |  
浏览/下载:59/0
  |  
提交时间:2021/11/02
Vegetation
Forestry
Random forests
Feature extraction
Remote sensing
Data models
Training data
Deep forest
online multiview learning
polarimetric synthetic aperture radar (PolSAR)
remote sensing data classification
BCP-based joint delegation learning model and protocol
期刊论文
Tongxin Xuebao/Journal on Communications, 2021, 卷号: 42, 期号: 5, 页码: 137-148
作者:
Gao, Sheng
;
Xiang, Kang
;
Tian, Youliang
;
Tan, Weijie
;
Feng, Tao
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  |  
浏览/下载:10/0
  |  
提交时间:2022/02/17
Crime
Cryptography
Data mining
Decision trees
Privacy by design
Random forests
Data mining process
Decision tree modeling
Entropy algorithms
Ho-momorphic encryptions
Horizontal distribution
Model construction
Performance analysis
Privacy protection
Mapping China's Electronic Power Consumption Using Points of Interest and Remote Sensing Data
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 6, 页码: 17
作者:
Jin, Cheng
;
Zhang, Yili
;
Yang, Xuchao
;
Zhao, Naizhuo
;
Ouyang, Zutao
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  |  
浏览/下载:28/0
  |  
提交时间:2021/07/09
electric power consumption
points of interest
nighttime light
random forests
China
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Zhu, Haiping
;
Shan, Hongming
;
Zhang, Yuheng
;
Che, Lingfu
;
Xu, Xiaoyang
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浏览/下载:40/0
  |  
提交时间:2022/01/27
Decision trees
Estimation
Task analysis
Forestry
Vegetation
Random forests
Support vector machines
Differentiable decision trees
image ordinal estimation
ordinal distribution learning
ordinal regression (OR)
random forest
Wind Power Short-Term Forecasting Model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm
期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 6478-6487
作者:
Hao, Jie
;
Zhu, Changsheng
;
Guo, Xiuting
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  |  
浏览/下载:18/0
  |  
提交时间:2021/03/02
Decision trees
Economics
Electric power system interconnection
Electric utilities
Predictive analytics
Random forests
Statistical tests
Weather forecasting
Wind power
Chi-square tests
Classification models
Random forest algorithm
Real time characteristics
Short term prediction
Short-term forecasting
Short-term wind power forecasting
Wind power predictions
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