搜索资源列表
svm-toy
- 支持向量机制。SVM分类器的重要部件。可以检测和训练样本集和
SVM分类器
- SVM文本分类器源程序,英文界面,包含语料,没有解压缩密码-SVM text classifier source, English interface, including Corpus, not extract passwords
基于svm的分类器
- c++ 开发的svm分类器,功能不错,支持多类,多标签分类。使用方便,欢迎下载!
libsvm-mat-2.88-1
- matlab编写的SVM分类器源代码,效果不错,是很好的东西哦!-matlab prepared SVM classifier source code, well, things are good Oh!
svm
- 线性SVM算法设计分类器,对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVMAPP
- SVM分类器,可用于训练样本值,仅供参考,交流,学习-SVM classifier, the value of training samples can be used for reference purposes only, communication, learning
svm
- SVM神经网络中的参数优化---如何更好的提升分类器的 性能-a important and popular classifier
svmfenleiqiyuanli
- svm分类器原理详细描述,值得一看,希望对你有帮助-svm classification theory described in detail, worth a visit, I hope to help you
ensembles_pca_svm_new10v
- pca做特征降维,然后进行特征空间随机分割构造多个svm分类器,并行处理,对样本进行分类,基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
SVM神经网络中的参数优化---提升分类器性能
- 对SVM神经网络进行参数优化,提升其分类器性能(The parameters of SVM neural network are optimized to improve the performance of classifier)
linear programming and svm
- 线性分类器(linear classify)
SVM
- 配置opencv库,SVM训练和分类,显示分类结果,和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
线性分类器
- 该程序能够实现对于一个样本完成感知机,最小二乘法,凸优化方法解决SVM和matlab自带函数解决SVM的四种程序,并且通过修改部分参数可以完成不同效果。(The program can be achieved for a complete sample perceptron, least squares method, convex optimization method to solve SVM and MATLAB with four program function to solve th
svm参数优化
- 采用svm来做分类,一般能得到较满意的结果,但用svm做分类预测时需要调节相关的参数才能得到比较理想的预测分类准确率,那么svm的参数该如何选取?该程序主要说明如何更好地提升分类器性能。(Use svm to do the classification, the general can get more satisfactory results, but when using svm to do classification prediction need to adjust the relev
Svm
- 实现简单的SVM 分类器,包括数据读取及简单的显示,简单易学易上手(Implementation of a simple SVM classifie)
9、SVM方法
- svm分类器,训练svm的MATLAB代码,简单易理解,好用,能够有效的实现动能(SVM classifier, training SVM MATLAB code, simple and easy to understand, good use, can effectively implement the kinetic energy)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别,基于GMM的图像分割,使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
fapiao
- 主要实现的是发票的文字区域的检测,采用的SVM训练器进行分类,同时对区域进行划分并且识别出主要文字。(The main task is to detect the text area of invoice. The SVM trainer is used to classify the text area and recognize the main text.)
classifier_D
- 使用SVM分类器来预测乳腺癌病人的预后(特征选择;分类器构建),评价模型时使用无被交叉验证,性能评价指标包括准确率,AUC,灵敏度,特异度。学会最基本的机器学习方法。可查看分发给大家的代码,以后遇到类似的问题,可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the
SMO 算法实现线性 SVM 分类器,对 iris 数据集进行二分类
- 不使用sklearn库,手写实现SMO算法线性 SVM 分类器,对 iris 数据集进行二分类