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 source code written using svm, support vector machine can be achieved for feature classification or extraction
Classification_LS_SVMlab4cv1
- 最小支持向量机中BRF核函数来解决实际分类问题-BRF minimum support vector machine classification of kernel function to solve real problems
SVMvccode
- 个vc开发的支持向量机程序，对于初学者很有用,可做回归和分类问题-A vc developed support vector machine procedure is useful for beginners, do regression and classification problems
SVMinPR
- 模式识别中支持向量机的应用。在图像识别，多维数据分类中有很好的应用。-Pattern recognition Support Vector Machine. In image recognition, multi-dimensional data classification has a good application.
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane,
SVP
- 支持向量机用于分类程序，是我的毕业论文程序。-Support vector machines for classification procedures, is my thesis process.
abbr_b11a93e762f6958bb657c1ad7c58d2b5
- 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
activities_of_the_shape_model
- 基于支持向量机分类器的活动形状模型。学术论文。-Support vector machine classifier based on the activities of the shape model. Papers.
aa
- 基于支持向量机与无监督聚类相结合的中文网页分类器，好文章-un supervised clustering algo rithm
USPS2Bsvm
- 自己用支持向量机编的一个小程序，很好的实现了分类-Their series with support vector machine is a small program achieved very good classification
SVMNN
- 使用支持向量机SVM神经网络分类数据的预测-the prediction of data classification by SVM neural network
SVM
- SVM基础资料,关于核函数的分类及可支持向量机的一些资料-SVM based on information about the kernel function support vector machine classification and may some of the information
svm
- 支持向量机可以对样本进行的分类，具有很好的泛化能及，并且可以解决小样本学习问题，在学习过程中避免出现局部最优解-Support vector machine classification of samples can have very good generalization can be and, and can solve the small sample learning problems, in the learning process to avoid local optima
LS_SVMlab
- 支持向量机matlab代码,用于分类和拟合-programme in matlab
libsvm3
- 台湾林智仁编写的支持向量机开源程序，可用于分类（C-SVC，nu-SVC，one-class SVM）和回归（epsilon-SVR，nu-SVR）。这是最新版本3.0。-Libsvm3.0 is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-cla
fourSVMtool
- 四种支持向量机的四种SVM工具箱的分类与回归算法，包括全部工具箱函数。-Four of four SVM support vector machine classification and regression algorithm toolbox, including all the toolbox functions.
SVM2
- 关于是SVM 支持向量机的分类问题,是我们学习的帮手！-svm very good !!
TorchSVM
- SVM（支持向量机）的C++源码。可以实现基于SVM的数据分类机回归，可应用于人工智能，模式识别及数据处理领域。源码附有英文注释。-SVM (support vector machine) in C++ source code. Can achieve data classification based on SVM regression, can be used in artificial intelligence, pattern recognition and data processin
MATLABS-SVC--CODE
- 支持向量机的MATLAB代码,包括分类与回归,可帮助学习机器学习算法-MATLAB S SVC DODE
smo--c
- 支持向量机的序列最小优化（smo）分类算法 c++实现，-SVM sequential minimal optimization (smo) classification algorithm c++ implementation