搜索资源列表
c4.5-decision-tree-matlab
- c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
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
svm2change
- 支持向量机在样本分类中的另一个例子，适合入门级别，带有详细的注释。开发环境为MATLAB。-Another example of SVM classification in the sample, suitable for entry-level, with detailed notes. Development environment for MATLAB.
PRbianchen
- 老师给的模式识别的编程例子，包括bayes分类算法、支持向量机分类、Parzen窗估计等算法，程序简单明了，是不错的例子。-Pattern Recognition teacher programming examples, including bayes classification algorithm, support vector machine classification, Parzen windows estimation algorithm, the procedure is sim
svm-skills-
- 支持向量机的分类到训练学习的全套示例，程序简单明了，是接触支持向量机最好的入门资料。-Support vector machine (SVM) classification of a full set of sample to study training, procedures simple and clear, is the best introductory material contact with support vector machine (SVM).
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
libsvm-3.18
- 使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
gaSVMcgForClass
- 使用基因遗传算法优化支持向量机参数，进而准确快速分类-Using genetic algorithms to optimize the parameters of support vector machine, and then quickly and accurately classified
psoSVMcgForClass
- 一种基于粒子群优化的支持向量机分类算法，准确、快速-Particle swarm optimization based on support vector machine classification algorithm, accurate and fast
faceexpressionrecognitionPsvm
- 表情识别 matlab 支持向量机分类器- matlab SVMcalssfier expression recognition
Determination-SVM-classifier-
- 交叉验证的实现，判定SVM分类器 支持向量机SVM(Support Vector Machine）是一种可训练的机器学习方法。-The realization of cross-validation to determine SVM classifier support vector machine SVM (Support Vector Machine) is a machine learning method trainable.
svm-toolbox
- matlab 支持向量机工具箱可以实现输入数据并对数据按指定的寻优方式和核函数计算出数据分类决策函数。-matlab SVM toolbox for data classification
linear-programming-and-svm
- 线性分类程序，支持向量机的matlab实现-liner programming svn matlab implementation!
huishangguanlian
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好.--Relevance Vector Machine (RVM) of the mat
yinzhang
- 印章识别：使用支持向量机（SVM）进行分类，把印章和背景区分，以分离印章。-using the SVM to recognizing a stamp from its background
SVM
- 支持向量机,用于各种分类和回归，是一种比较常用的智能算法-SVM for regression and classification
TestSVM
- 这是一个用支持向量机实现分类的程序，通过这些代码能清晰地了解支持向量机的原理-This is a support vector machine classification procedures, through the code can clearly understand the principle of support vector machine
STX2
- 支持向量机检测水天线，使用的SVM对水天山进行分类训练，分类后找到直线进行仿射变化。-support vector machine
svc
- 模式识别中的svm支持向量机方法源代码。输入训练点特征及类别，程序将求解出基于样本类别的分类条件。-Pattern recognition svm SVM method source code. Input point feature and class training program will solve the classification based on the type of sample conditions.
SVM
- 支持向量机matlab 实现 数据分析 分类器-Support vector machine matlab achieve