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TRAINED MULTI-LABEL SUPPORT VECTOR MACHINE RUNNING A ONE-VS-THE-REST CLASSIFIER
TRAINED MULTI-LABEL SUPPORT VECTOR MACHINE RUNNING A ONE-VS-THE-REST CLASSIFIER
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机译:训练有素的多标签支持向量机运行一个vs-the-rest分类器
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摘要
The technology disclosed relates to a system. The system comprises a trained multi-label support vector machine running a one-vs-the-rest classifier. The trained multi-label support vector machine running a one-vs-the-rest classifier is configured with trained parameters. The trained parameters are learned from training the trained multi-label support vector machine running the one-vs-the-rest classifier on document features of documents belonging to a plurality of label classes, and hyperplane determinations on label classes in the plurality of label classes. The trained parameters include distributions of distances between the label classes and the hyperplanes.
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