搜索资源列表
libsvm-3.20
- 根据训练数据,使用SVMlib 学习TrainLetter.txt的linear SVM models, 进而预测测试数据TestLetter.txt的分类结果(According to the training data, the TrainLetter.txt linear SVM models is learned by using SVMlib, and then the classification results of the test data TestLetter.txt are
LIBSVM
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式
MATLAB神经网络30个案例分析(全书和源代码)
- libsvm is very kind to use. I like it
libsvm-3.22
- libSVM最新版本,支持多个平台直接引用,在matlab中有简单的例子(The latest version of libSVM supports multiple platforms for direct reference, with simple examples in MATLAB)
libsvm-3.22
- 能够用来解决svm算法用于机器学习中的多数问题(It can be used to solve most of the problems that SVM algorithms are used in machine learning)
成功libsvm-3.1-[FarutoUltimate3.1Mcode]
- matlab 工具箱svm,具体添加操作可以参照百度,很容易找到(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.)
libsvm-mat-2.91-1
- Matlab上使用SVM所需插件 2. 操作流程: 请注意:详细操作流程请参考上面的“详解”网站,这里只说大框架和详解里没有提到的问题。 A.设置path File->set path ->add with subfolders->加入libsvm-3.11文件夹的路径 B. 在matlab中编译 目的:将libsvm-3.11\matlab 中 libsvmwrite.c 等 C++文件编译成 libsvmread.mexw32 等matl
python
- 实现libsvm的python代码实现,这是最新的python实现的开源代码,可以结合anaconda使用(can achieve libsvm's function)
libsvm-3.17
- 支持向量机,用于模式识别的特征分类,基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
libsvm-3.22
- 台湾大学林志仁教授对SVM支持向量机的实现(Implementation of SVM support vector machine by Professor Lin Zhiren of National Taiwan University)
libsvm
- 通过对样本训练得到模型,然后对待测样本用于分类预测。(The model is trained by sample training, and then the measured samples are used for classification prediction)
libsvm-3.22
- matlab code for libsvm
libsvm-3.20
- 台湾大学林智仁libsvm-3.2,帮助大家来做行人检测训练。(This tool can help us to train our classify machine, obtaining good results.)
libsvmdata
- 自己用MATLAB编写的程序,用于将实验数据改写为libsvm工具箱固定的数据格式(MATLAB program, used to rewrite the experimental data as a fixed data format for the libsvm toolbox)
libsvm-322
- 实用的向量机工具,功能丰富,使用简单,不定期更新(libSVM is a useful tool which is very powerful)
libsvm_experiment
- 利用matlab自带的libsvm库在iris数据集上进行分类实验(Experiment on iris dataset based on the SVM algorithm using libsvm,matlab)
LIBSVM-multi-classification-master
- svm library using matlab
SVMcgForClass
- libsvm网格法查找最优参数函数 SVMcgForClass.m(内用svmtrain函数)(libsvm grid method to find the optimal parameter function SVMcgForClass.m (with svmtrain function))
libsvm-svmforcg
- libsvm 源码包,自带交叉验证寻优函数,可直接使用(Libsvm source code package, with cross validation optimization function, can be used directly)
FormatDataLibsvm
- 将mat文件转化为libsvm的数据文件。直接将.mat文件的数据复制到表格,运行宏即可(Convert the mat file to the data file of the libsvm. Copy the data of the.Mat file directly to the table and run the macro)