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Active learning sample selection based on multicriteria
Zhonghai He, Kun Shen
*
,
Xiaofang Zhang
*
此作品的通讯作者
光电学院
Northeastern University China
Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology
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探究 'Active learning sample selection based on multicriteria' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Selection Method
100%
Learning Sample
100%
Mean Clustering Algorithm
50%
Learning Algorithm
50%
Spatial Information
50%
Model Problem
50%
Model Building
50%
Sample Space
50%
Computer Science
Active Learning
100%
Multicriteria
100%
Selection Method
25%
Mean Clustering Algorithm
12%
k-means Clustering
12%
Performance Model
12%
Learning Algorithm
12%
Prediction Accuracy
12%
Spatial Information
12%
Representative Sample
12%
Calibration Set
12%
Mathematics
Chemical Concentration
100%
Diversity Methods
100%
Model Building
100%