A Cost-Sensitive Deep Belief Network for Imbalanced Classification
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/6f82567e-dc75-4ab1-9fc3-e19f3375b858
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资源简介：
Imbalanced data with a skewed class distribution are common in many real-world applications. Deep Belief Network (DBN) is a machine learning technique that is effective in classification tasks. However, conventional DBN does not work well for imbalanced data classification because it assumes equal costs for each class.
提供机构：
TIB
创建时间：
2024-12-02
