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A Cost-Sensitive Deep Belief Network for Imbalanced Classification
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... -
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
This dataset is used for the experiment of mitigating mainstream bias in recommender systems.
