搜索资源列表
svm
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
SVM--SVM
- 支持向量机,用于分类,含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source
SVM20
- 一个SVM分类算法,windows下可以直接使用,在网络上可以找到源代码-an SVM classification algorithm, windows can be directly used on the network can find the source code
svm-predict
- 使用SVM支持向量机 预测分类 使用SVM支持向量机 预测分类-use SVM SVM forecast classification SVM SVM classification forecast
svm
- svm的分类原理介绍,以及它的训练算法研究和应用-introduce the principle of SVM classification, as well as its training algorithm research and application
SVM
- 这里实现了四种SVM工具箱的分类与回归算法-Here to realize the four SVM toolbox Classification and regression algorithm
SVM
- 这是一个讲解机器学习与SVM的课件,讲的深入浅出,非常不错。-err
newsvm
- svm classification and regression code
(SVM)[matlab]
- 支持向量机(SVM)实现的分类算法源码[matlab]-Support Vector Machine (SVM) classification algorithm realize the source [matlab]
svm
- libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It
Svm
- 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具,支持向量分类(support vector classification,简称SVC)算法是一个很有发展前景的方向。-Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool
Classification.NET
- 机器学习各种分类器代码,C#。 包括AdaBoost,DecisionStump,NearestNeighbout,SVM等,包括测试数据的生成-A variety of machine learning classifier code, C#. Including AdaBoost, DecisionStump, NearestNeighbout, SVM, including the generation of test dat
SVM-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例,依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
svm-EM
- SVM(支持向量机)和EM(最大熵)文本分类算法,压缩包中包括了测试文本(环境类和计算机类),词典,停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary
classification
- 该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorith
SVM
- matlab svm 分类程序,适合7.0以上的版本-matlab svm classification procedures suitable version 7.0 or above
pca-svm
- 使用pca和svm方法对表情进行分类,有较高的识别准确率-The use of pca and expression svm classification methods, which have a higher recognition accuracy
svm-classification
- 这是中科院曾力的支持向量机分类原理的ppt讲义,适合初学者。-This is the force of the Chinese Academy of Sciences has support vector machine classification principle ppt notes, suitable for beginners.
SVM
- 线性SVM分类,数据已给出,代码很详尽哈-Linear SVM classification, data has been given, the code is very detailed and Kazakhstan