搜索资源列表
SVM
- 基于支持向量机SVM的matlab仿真与应用-SVM based on support vector machine with the matlab simulation application
SVM_luzhenbo
- 支持向量机工具箱，包括了二种分类,二种回归,以及一种一类支持向量机算法。 -Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
SVM_lzb1p0
- 四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.-Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.
FormatDatalibsvm
- 本东东用于支持向量机LIBSVM的数据转换-The Dongdong LIBSVM Support Vector Machine for the data conversion
gridregression
- 根据libsvm中的grid.py改写的支持向量机回归栅格搜索算法-Grid.py According to rewrite the libsvm Support Vector Machine Regression grid search algorithm
checkdata
- 可知对支持向量机模型的输入数据格式进行检查-We can see support vector machine model of the input data format check
svm
- 支持向量机的matlab程序代码，还有支持向量机的原理说明-Support vector machine procedures, including the principle
svmprogressanumberofnew
- 支持向量机的若干新进展,SVM研究资料，算法研究-Support Vector Machines progress a number of new
svm
- 基于 支持向量机matlab源程序 实现的多元统计方法-klssvm algorithm
mySVM
- 一种可以用于进行数据挖掘的新的支持向量机 是university of California开发的-support vector machine
svm
- svm支持向量机-svm support vector machine
3
- FSVM在人眼状态识别中的应用,一种结合gabor滤波和模糊支持向量机进行人眼状态检测的方案-FSVM in the human eye pattern recognition application, a combination of gabor filtering and fuzzy support vector machine is the human eye state inspection programs to
shujunihe
- 实现数据拟合！里面有很多实现数据拟合的源程序！-Data fitting! There are many data fitting source!
Pattern_Recognition
- 该文档是清华大学的模式识别教程，该版本是网页版本，浏览非常方便，内容也非常详细，非常适合初学者，个人举得特别是支持向量机那一章描述很棒！-this document is from Tsinghua University,this is the html version,it is convenient to read, it is very suitable for the elementary readers,in my own opinion,the charter of svm is v
SVM_Code_rar
- 支持向量机的实现程序，用于实现支持向量机基本算法的matlab代码-Support Vector Machine implementation of procedures used to implement the basic algorithm of support vector machine matlab code
SupportVectorMachinesClassifierBasedonModifyingKer
- 以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sid
Face_detection
- 基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
svmmangjunheng
- 基于支持向量机的水声信道盲均衡算法的研究-Based on support vector machines underwater acoustic channel blind equalization algorithm
SVMregression
- 用MATLAB编写的svm支持向量机的分类,回归工具箱- MATLAB codes of support vector machine svm classification, regression Toolbox
svm_demo
- svm（支持向量机）的演示程序，是可执行程序，非控制台程序，可实现分类并图形化显示。-svm (support vector machine) demonstration program, an executable program, non-console programs for classification and graphical display.