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用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification
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Svm is algorithm which helps in classification of data
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提出了基于主动学习SVM的局部放电模式识别方法。将主动学习的思想引用到“一对一”多分类SVM分类器,选用基于后验概率的釆样函数对放电样本进行选择,挑选出对分类器最有价值的样本进行训练。
-Puts forward the partial discharge pattern recognition method based on active learning SVM. Will reference to the one to one the ideology of active stud
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boosted svm for classification of imbalanced data
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最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
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基于Hadoop和Spark环境下的SVM分类的实现，该包括Spark环境配置。-Spark and implement SVM classification Hadoop-based environment, which includes Spark environment configuration. .
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svm for Supervised classification
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Matlab code for svm for classification of two classes
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