多类分类问题 Multi-class classification One-vs-all ; Multi-class classification
多个类别的分类问题时 multi-class problems
For the multi-class problem, a method based on decision tree is presented that is able to reduce a multi-class classification problem to multiple binary classification problems each of which is solved by SVM.
对于多分类问题，我们提出了一种基于决策树的支撑矢量机算法。
参考来源 - 支撑矢量机与核方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
对于具有多模糊特征变量的多分类问题，自动提取适当的模糊模式识别规则集至关重要。
It's important to extract an appropriate fuzzy rules set for multi-classification problems that have fuzzy variables.
采用了一种基于编码支持向量机的多分类方法，该方法解决了SVM多分类问题的同时，有效地减少了训练和测试时间，提高了算法的效率。
We solve the multi-classification task by using a so called Coding SVM. By using this algorithm, we not only solve the classification task but also reduce the training and testing time.
针对空战目标识别中机型识别这一问题，提出了基于多分类器融合的识别方法。
Aiming at aircraft type recognition in the field of automatic target recognition, a method based on combining classifiers is proposed.
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