The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems in traditional max-wins-voting ( MWV) strategy. 新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题,因此具有更好的分类性能。
The new method can resolve sample dispersion and the unclassifiable region problems. 该方法解决了分类过程中样本点分散和样本不可分问题。
The method constructing and combining several binary SVMs ( Support Vector Machines) with a binary tree can solve multiclass problems, and resolve the unclassifiable regions that exist in the conventional multiclass SVMs. 采用二叉树结构对多个二值支持向量机(SVM)子分类器组合,可实现多类问题的分类,并且还可克服传统多类SVM算法存在的不可分区域的情况。
In k-class task, the new classifier only contains k-1 SVM sub-classifiers. The proposed method also overcomes the drawbacks such as unclassifiable region which the "one-against-one" method has, and possesses a good classification performance. 研究结果表明,对于k类别模式识别问题,该方法只需构造k-1个SVM子分类器,克服了SVM子分类器过多以及存在不可区分区域的缺点,具有良好的分类性能。
Conclusion: A few of children with non-nephrolithiasis rIH or unclassifiable non-nephrolithiasis IH have mild abnormal bone metabolism, but no overt disorder of bone growth is found. 结论:少数非结石性rIH或分类不明的非结石性IH患者存在轻微骨代谢异常,但一般不会对儿童骨骼发育造成显著影响。
The mechanism of support vector machine ( SVM) is discussed in this paper. Through calculating fuzzy membership of every sample, the conception of fuzzy support vector machine ( FSVM) is introduced, which can resolve the problem of unclassifiable regions in SVM. 探讨了支持向量机(SVM)的机理,并通过计算每一个样本的模糊隶属度,引入了模糊支持向量机(FSVM)的概念,解决了SVM中的不可分区域问题;
To resolve the unclassifiable region of one-against-one support vector machine for multiclass problems, an improved one-against-one support vector machine based on distance measure is presented. 针对一对一方法存在不可分区域问题,提出了一种基于距离测度的改进方法。
But as a new technology, it still has some problems, such as unclassifiable regions and long training time. 但是,作为一种尚未成熟的技术,支持向量机目前还存在着许多局限,如存在不可分区域、训练时间过长等。
If we use support vector machine and support tensor machine for multiclass problems, unclassifiable regions exist. 由于对支持向量机或支持张量机来说传统的多类分类方法会出现不可分区域。