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svm分类程序,基于乳腺组织电阻抗特性的乳腺癌诊断-svm classification procedure, based on electrical impedance characteristics of breast tissue for breast cancer diagnosis
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这是我自己的SVM分类程序,本人正在用包括核函数的选择,线性核函数等。-This is my own SVM classification procedures, I was with, including the choice of kernel function, linear kernel and so on.
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适用于SIFT图像特征提取、K-means生成聚类、SVM图像分类-Image feature extraction, generation clustering, image classification
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该压缩包中包含的程序均在MATLAB下开发,从功能上分为两类。第一类名字中包含SVC的程序,主要用来对两类数据进行分类,并可以生成分类结果图。第二类名字中包含SVR的程序,主要用来对高维数据集进行预测,并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。-The archive contains the MATLAB program are under development, from the functions are divided into two categories
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目标分类(流形学习slle+支持向量机svm)-Target classification (manifold learning slle+ support vector machine svm)
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SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- Wine Type Identification
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SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID
KERNEL AND THRESHOLDING FUSION-SPEECH-BASED EMOTION CLASSIFICATION USING MULTICLASS SVM WITH HYBRID KERNEL AND THRESHOLDING FUSION
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SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- Wine Type Identification
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朴素贝叶斯文本分类法以及SVM文本分类法的源码和说明文档。-Naive Bayesian text classification and SVM text classification method source code and documentation.
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matlab实现AdaBoost,弱分类算法包括fisher 伪逆 svm naivebayes 决策树。-matlab implements AdaBoost, weak classification algorithms include fisher pseudoinverse svm naivebayes tree.
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A simple Code for SVM classification
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支持向量机SVM(Support Vector Machine)作为一种可训练的机器学习方法,依靠小样本学习后的模型参数进行导航星提取,可以得到分布均匀且恒星数量大为减少的导航星表。
基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起,然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去,这种分类器被称为支持向量机(Support Vector Machine,简称SVM)。支持向量机的提出有很深的理论背景。
支持向量机
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学习OPENCV,HOG+SVM分类检索,调用opencv函数实现。-Learn OPENCV, HOG+ SVM classification retrieval, call the opencv function implementation.
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支撑向量机(SVM),源码,可直接编译,编译前需要配置Opencv和VS。
用于分类-Support vector machine (SVM), source code can be compiled directly, you need to configure before compiling Opencv and VS. For classification
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使用svm工具箱进行分类,回归,预测,归一化,训练-Using svm toolbox for classification, regression, forecasting, normalization, training
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libSVM是一种分类效果较好的SVM算法,能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
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libSVM是一种分类效果较好的SVM算法,能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
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libSVM是一种分类效果较好的SVM算法,能够实现多类数据的高正确率分类。-libSVM is a better classification results of SVM algorithm, to achieve multi-class classification data high accuracy.
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一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章:Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The
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基于协议分析和SVM 多分类的入侵检测系统研究*-Multi-protocol analysis and SVM based classification Intrusion Detection System*
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