Evolutionary deep belief network with bootstrap sampling for imbalanced class data /
Imbalanced class data is a frequent problem faced in classification task. Imbalanced class occurs when the classes in the dataset has a huge distribution gap between them. The class with the most instances is called the majority class, while the class with the least instances is called the minority...
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格式: | Thesis |
語言: | English |
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Kuala Lumpur :
Kulliyyah of Information and Computer Technology, International Islamic University Malaysia,
2019
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在線閱讀: | http://studentrepo.iium.edu.my/handle/123456789/5376 |
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