This algorithm is a combination of kernel trick with the covering algorithm, and is used to extract the support vectors in feature space.

该算法将核技巧与覆盖算法相结合，并在特征空间中抽取支持向量。

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Multi-label learning is a common problem in real application. Covering algorithm performs well with single-label learning but can not deal with multi-label learning.

多标记学习是实际应用中的一类常见问题，覆盖算法在单标记学习中表现出了优秀的性能，但无法处理多标记情况。

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Multi-label learning is a common problem in real application. Covering algorithm performs well with single-label learning but can not deal with multi-label learning.

多标记学习是实际应用中的一类常见问题，覆盖算法在单标记学习中表现出了优秀的性能，但无法处理多标记情况。

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