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Question: How can i choose the most confident samples in self-training with multi-label dataset ?

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I want to Implement self-training method on a common multi-label dataset (e.g yeast.arff) . how can i choose the most confident samples to add them to label set for next iteration?

Best regards

submitted by nimakhan66
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