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Semi-Supervised Majority Voting for crowdsourcing
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DOI：10.1016/j.inffus.2025.103412.png)
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Abstract
En 中文
• Semi-supervised learning tackles missing labels in crowdsourced data classification. • Laplacian matrix preserves original label distribution during reconstruction. • Worker selection vectors filter unreliable workers to boost performance.
Keywords:
Crowdsourcing
Majority voting
Semi-supervised learning
Classification
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15.5
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4.2K
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2.7W
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