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- 我是SVM初学者，下了几个SVM软件，个人比较看好LS-SVMlab Toolbox-I SVM beginners, the next several SVM software. personally optimistic about the LS-SVMlab Toolbox
是关于LS-SVMlab工具箱的使用说明方法介绍
- 是关于LS-SVMlab工具箱的使用说明方法介绍（英文版），以及一篇用此工具包实现时间序列预测的论文，希望对大家有所帮助。,LS-SVMlab toolbox on the instructions for use method descr iption (English), and use this tool kit to achieve a time series forecasting papers you want to help.
处理图像分类的最小二乘法svm工具箱
- 这是处理图像分类的最小二乘法svm工具箱，里面有详细的使用说明，功能强大，欢迎下载使用。,This is the deal with image classification of least squares SVM toolbox, which has detailed instructions and powerful are welcome to download.
ls-svm_toolbox
- 很有用的支持向量机的工具箱，工具箱里包含LS-SVM的核心算法以及DEMO,内附有工具箱的使用说明-well-known svm toolbox and user guide
LS_SVMlab
- 最小二乘支持向量机工具箱，学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
LS-SVMlab1
- The present LS-SVMlab toolbox contains Matlab/C implementations for a number of LS-SVM algorithms. -The present LS-SVMlab toolbox contains Ma tlab/C implementations for a number of LS-SVM a lgorithms.
SVM_tool
- 支持向量机的工具箱，自己用的，应用很方便，有使用手册，源码，中文说明。是一款很好用的软件-Support Vector Machine Toolbox, own use, the application is very accessible, user manual, source code, the Chinese statement. Is a very good software used by
LS_SVMlab
- matlab 中的SVM工具箱使用指南及源程序-LS-SVMlab Toolbox User’s Guide
SVM
- 介绍了LS-SVMlab Toolbox工具箱的使用，并给出了SVM的编程例子。-Introduce the LS-SVMlab Toolbox and some SVM Programming examples.
LSSVMlab-Toolbox-Users-Guide
- 最小二乘支持向量机LSSVM工具箱使用指南中文版-LS-SVMlab Toolbox User’s Guide in Chinese
LS-SVMlab-Toolbox
- 最小二乘支持向量机工具想的设计，及其使用工具箱的指导手册。-The least squares support vector machine tool design think its use toolbox guidance manual.
LS-SVMlab-Toolbox-Users-Guide-1_5
- 英文原版的最小二乘支持向量机1.5版使用说明，包含每个函数的详细使用说明-English original 1.5 version of least squares support vector machines for use, contains detailed instructions for each function
ustigate__permit
- The present LS-SVMlab toolbox contains MatlabC implementatio-The present LS- SVMlab toolbox contains MatlabC implementatio
izmediate-process
- The present LS-SVMlab toolbox contains MatlabC implementatio(The present LS - SVMlab toolbox contains MatlabC implementatio)
LSSVMlabv1_8_R2006a_R2009a
- 非线性分类、函数估计和密度估计等问题的有效方法。(nonlinear classification, function estimation and density estimation)