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西北工业大学 国内
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Gaussian Mixture Conditional Tabular Generative Adversarial Network for Data Imbalance Problem
Yongwei Ke, Jiali Cheng,
Zhiqiang Cai
机电学院
Northwestern Polytechnical University Xian
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探究 'Gaussian Mixture Conditional Tabular Generative Adversarial Network for Data Imbalance Problem' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Generative Adversarial Networks
100%
Gaussian Mixture
100%
Gaussian Mixture Model
60%
Synthetic Data
40%
Experimental Result
20%
Training Dataset
20%
Clustering Algorithm
20%
Clustering Analysis
20%
Machine Learning Algorithm
20%
Collected Data
20%
Engineering
Gaussian Mixture Model
100%
Gaussian Mixture
100%
Experimental Result
33%
Machine Learning Algorithm
33%
Collected Data
33%
Clustering Algorithm
33%