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svdd分类器的使用算法,可以对两类数据进行分类,包括目标数据和非目标数据-Support Vector Data Descr iption
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SVDD的工具箱,可以很好的处理一类分类问题,详见Support Vector Data Descr iption一文-SVDD tools,can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Descr iption"
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Tax和Duin提出的支持向量数据域描述(SVDD)方法,此论文适合适SVDD初学者。-This paper introduces a new method for data domain descr iption, inspired by the Support Vector Machine by Vapnik, called
the Support Vector Domain Descr iption (SVDD).
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support vector data descr iption的matlab代码-support vector data descr iption of the matlab code
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非线形回归,支持向量机理论。详细地介绍了支持向量机的数据基础。举例说明支持向量机的应用。-Non-linear regression, support vector machine theory. Detailed descr iption of the support vector machine data base. Illustrate the application of support vector machines.
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支持向量数据描述及其在及其故障诊断中的应用-Support Vector Data Descr iption and its application in fault diagnosis in
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Support Vector Data Descr iption SVDD MATLAB 编程-Implemention of Support Vector Data Descr iption
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ROC曲线,AUC误差,支持向量数据描述在检测异常信号中的应用。-ROC curve, AUC error, support vector data descr iption applied to detect abnormal signal.
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使用支持向量数据描述,使用RBF核。利用被检测数据画出一个散点图。-Using support vector data descr iption, use the RBF kernel. Use test data to draw a scatter plot is.
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高斯核支持向量数据描述(SVDD)方法的源代码
-the code of gauss kernel support vector data descr iption
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提出一种基于支持向量数据描述和核空间相对距离的预测算法。-Propose a prediction algorithm based on support vector data descr iption and kernel space relative distance.
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Implemention of support vector data descr iption algorithm
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SVDD classifier 即支持向量数据描述分类器,能将数据分为两类。本文件也提供了训练数据和测试数据,方便进行测试。(Support vector data descr iption classifier. Data can be divided into two categories .This document also provides training data and test data to make it easy to test the program.)
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SVDD - support vector data descr iption of the matlab code
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support vector data descr iption of the matlab code
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Lec6_SVDD_2_CLASSES support vector data descr iption of the matlab code
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support vector data descr iption of the matlab code
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mplementation of Fast Support Vector Data Descr iption (http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5510185),
as a part of the Kernel Methods for Pattern Analysis course.
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A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications.
This repository includes the code for the experiments carried out for the Master’s Thesis “Deep Support Vector Data Descr
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基于支持向量数据描述的故障诊断算法,具体算法原理参考Tax Duin2004_Article_Support Vector Data Descr iption,(Fault detection based on support vector data descr iption (SVDD))
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