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a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpful to those who are working on
ClassificationDataset
- Data set for classification using SVM-Data set for classification using SVM..............
TransSVM
- 将.txt格式的数据转换成svm所需要的格式-Will. Txt format data into the format required for svm
3SVM
- 支持向量机算法 程序 用于解决支持向量机 数据挖掘和段数据训练-SVM procedure for solving support vector machines in data mining and training section
advancedclassify
- 一个advancedclassify类包含数据分类相关的类，是集体智慧编程一书中核方法与svm那章的代码-A advancedclassify contains data classification class, book nuclear collective wisdom of programming methods and svm chapter code
33878
- 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 species identification
SVM
- 支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression
BP-3
- 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
libSVMmatlab
- 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.
LibSVMjava
- 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.
libSVM
- 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.
svmdxyy
- SVM支持向量机的典型应用，可用来对故障特征数据进行分类-SVM SVM Typical applications that can be used to classify the fault characteristic data
data-classification-by-SVM-
- 使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。-Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.
SVM
- This code just simply run the SVM on the example data set heart_scale , which is scaled properly. The code divides the data into 2 parts train: 1 to 200 test: 201:270 Then plot the results vs their true class. In order to visualize the h
svmMlIA
- python编写的svm算法，清晰易懂，并且附有源数据文件-written python svm algorithm, clear and easy to understand, and with the source data file
WineClass
- 基于SVM的数据分类预测——意大利葡萄酒种类识别,SVM网络预测,结果分析-SVM-based data classification prediction- Italian Wine type recognition, SVM network prediction results analysis
chapter29
- 支持向量机的回归拟合_混凝土抗压强度预测数据预测-Support vector machine (SVM) regression fitting _ forecast data to predict the compressive strength of concrete
svm
- SVM神经网络的数据分类预测-葡萄酒种类识别，能够很好地预测葡萄酒种类。-SVM neural network data classification prediction- wine species identification, can be a good predictor of wine types.
SVM
- 支持向量机源程序代码，用此程序可以进行数据的分类-Support vector machine source code, using this program can be used for data classification
chapter14
- 基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。-Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.