搜索资源列表
osu-svm-3.0
- support vector machine的osu源码-support vector machine source of Osu
osu_svm3.0
- 基于MATLAB的OSU-svm工具箱，希望对大家有用-based on MATLAB OSU-svm Toolbox, a member of the useful
osu-svm
- 支持向量机的演示代码。仿真效果支持向量分类的较好。-SVM demo code. Simulation results support vector classification better.
osu-svm
- 俄亥俄州立大学所编写的svm工具包，实现程序编译成了mex文件，所以速度很快-Ohio State University, prepared by the svm tool kit to achieve program compiled into mex files, so fast
osu-svm-3.0
- osusvm matlab 一个支撑向量机的工具包。希望对大家有用。-a Support Vector Machine tool kit. We hope that the right useful.-osusvm matlab a support vector machine toolkit. Hope useful for all of us.-a Support Vector Machine tool kit. We hope that the right useful.
osu-svm
- 是matlab编写的一个支持向量机的程序，经测试有效。程序里附带了了demo，有注释。-Matlab are prepared by a support vector machine procedures, tested and effective. Program comes with a demo, there is the Notes.
osu-svm-3.0
- svm3.0 用于svm算法（支持向量机）程序可直接调用，matlab语言-svm3.0 algorithm for svm (support vector machine) can directly call the procedure, matlab language
osu-svm-3.23
- LIBSVM osu 工具包 matlab界面可直接调用-LIBSVM osu kit matlab interface can be directly invoked
osusvm
- OSU Support vector machine in matlab
data
- SVM是支持向量机的缩写，是属于统计学习理论的一种人工智能算法。 osu svm是一个工具箱-SVM is a support vector machine stands are a statistical learning theory artificial intelligence algorithms. osu svm is a toolbox
OSU-SVM
- SVM工具箱 分类与回归算法 OSU SVM Classifier Matlab Toolbox-support vector machine procedures, the classification results very good
osu-svm
- OSU-SVM，基于LibSVM但是不需要LibSVM的格式，可以在32位的电脑上运行，速度较快，比较稳定，欢迎试用。-OSU-SVM, based on LibSVM but not LibSVM format, 32-bit computer can run faster, more stable, welcomed the trial.
osu-svm.rar
- SVM分类器相关的程序，包含各种SVM分类器,SVM classifier with related program，Contains various SVM classifier
osu-svm-3
- support vector machine
osusvm
- OSU-SVM适应于机器学习、模式统计等-OSU-SVM for learing
Data
- osu-svm是一个基于libsvm的matlab工具箱,分为c-svm和nu-svm,本质上差不多,c-svm中c的范围是1到正无穷,nu-svm中nu的范围是0到1,nu是错分(ComputeSampEnSVM_Toolbox\osu_svm3.00\cmap.mat SVM_Toolbox\osu_svm3.00\Contents.m SVM_Toolbox\osu_svm3.00\demo\c_clademo.m SVM_Toolbox\osu_svm3.00\demo\c_