• Model selection is an important research direction in SVM.

    模型选择是支持向量机一个重要的研究方向。

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  • SVM can not learn from large scale training data directly.

    支持向量机不能直接对大规模的训练数据进行学习。

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  • Support vector machine (SVM) is a new mechanism of machine learning.

    支持向量机(SVM)是一种新的机器学习机制。

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  • This is the paper in which the relation between SVM and BPD is studied.

    文章中讨论支持向量机与基础追踪去杂讯法之间的关系。

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  • A new method of text location based on color edge and SVM is presented.

    提出了一种将颜色边缘与SVM相结合的文本定位与提取的方法。

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  • When this is complete, identify slices that are available for use by the SVM.

    完成此工作以后,标识可供SVM使用的片。

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  • The results of experiment demonstrate that the SVM decision tree built up by...

    实验结果表明,这种方法构造的SVM决策树分类器分类性能较好。

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  • The support vector machine (SVM) is a very effective method for regression issue.

    支持向量回归机是求解回归问题的新的十分有效的方法。

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  • In recent years, Support Vector Machine (SVM) has become the research focus in statistical theory.

    近年来,支持向量机(SVM)已成为统计学习理论的研究热点。

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  • In recent years, Support Vector Machine (SVM) has become the research focus in statistical theory.

    近年来,支持向量机(SVM)已成为统计学习理论的研究热点。

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