搜索资源列表
stprtool.rar
- 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution estimation and clustering 4,Support Vector and other Kernel Machines,
SMOSVM
- 用于svc分类, 用SMO实现SVC,并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包,实现回归分析。 -For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
utilities
- 基于SVM的快速极小化SMO化算法程序,程序清晰易懂,易理解,可读性强,希望对同行有所帮助 -SVM-based fast minimization algorithm SMO program, the program clear and easy to understand, easy to understand, readable, and want to help peers
SVM-SMO
- 实现图像分类,支持向量机原始优化算法SMO-Image classification, the original optimization algorithm SMO support vector machine
SVM
- SVM的SMO算法实现,svm_train为训练函数,svm_predict为预测函数,按说明输入参数即可-The SMO SVM algorithm, svm_train of the training function, svm_predict to predict function, follow the instructions to input parameters
svm
- svm 实现,经典的SMO算法,支持三种kernel(多项式,高斯,内积)。还有test 函数 -implmentation of svm
svmjs-master
- Support Vector Machine in Javascr ipt (SMO algorithm, supports arbitrary kernels) + GUI demo