Search - Libsvm-FarutoUltimate3.0

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[Technology Management] libsvm-chineseFAQ DL : 0: 本文档是翻译libsvm的FAQ，对我们使用libsvm带来了极大的方便。-This document is translated libsvm FAQ, we use libsvm brought great convenience.
Update : 2025-02-17 Size : 14kb Publisher : jpy
[Mathimatics-Numerical algorithms] Libsvm-2_6 DL : 0: 支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题 -Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem
Update : 2025-02-17 Size : 808kb Publisher : 无为
[matlab] libsvm-mat-2.9-1 DL : 0: libsvm的matlab最新接口,支持64位操作系统下编译,可以超越进程4Gb空间的限制,处理大规模数据-This is the latest libsvm API for matlab supporting to compile under 64 bits OS,which can get away from 4Gb space in order to process large-scale data
Update : 2025-02-17 Size : 81kb Publisher : quarryhero
[matlab] TutorialForFarutoUltimate3.0 DL : 0: Libsvm-FarutoUltimate3.0，libsvm 加强工具箱使用说明，非常好的pdf文件，另外我将继续上传代码部分。-Libsvm-FarutoUltimate3.0, libsvm strengthen the toolbox for use, very good pdf file, and I will continue to upload the code section.
Update : 2025-02-17 Size : 205kb Publisher : wangpw
[matlab] libsvm-mat-2.89-3[FarutoUltimate3.0]Code DL : 1: libsvm加强工具箱（By faruto）patrick.lee@foxmail.com，非常好用，可以按照我上传的pdf很简单地实现SVM分类和回归，一定要用，力推！-libsvm strengthen the toolbox (By faruto) patrick.lee @ foxmail.com, very easy to use, you can upload the pdf according to my very simple implementation of SVM classification and regression, must use, pushing!
Update : 2025-02-17 Size : 159kb Publisher : wangpw
[Graph Recognize] libsvm-mat-2.89-3[FarutoUltimate3.0pcode] DL : 0: 现在的支持向量机用于识别比较热门，所以，在这里我上传一个支持向量机的程序-Support vector machines now used to identify the more popular, so here I upload a support vector machine procedures
Update : 2025-02-17 Size : 381kb Publisher : gaoyangaoyan
[AI-NN-PR] libsvm-mat-2.89-3[FarutoUltimate3.0] DL : 0: 电力电子变流器故障诊断,feichangyouyong-very nice
Update : 2025-02-17 Size : 811kb Publisher : 李军
[matlab] matlab12 DL : 0: 由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。-As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.
Update : 2025-02-17 Size : 1.49mb Publisher : 我没哦
[Graph Recognize] gabor-pca DL : 0: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0]
Update : 2025-02-17 Size : 10.84mb Publisher :
[matlab] [FarutoUltimate3.0Mcode] DL : 0: SVM faruto version，在libsvm的基础上添加函数而成-SVM faruto version, based on the libsvm
Update : 2025-02-17 Size : 372kb Publisher : jzxcjzxc
[AI-NN-PR] libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 1: 这个是李洋在LIBSVM基础上拓展的SVM工具箱，支持三种方式的寻参，加入画图函数-This is Li Yang in the LIBSVM based on the expansion of the SVM toolbox, support three kinds of mode homing, join the drawing function
Update : 2025-02-17 Size : 715kb Publisher : chengfei
[Other] libsvm-3.17_[FarutoUltimate3.0] DL : 0: libsvm-3.17增强工具，修正了部分代码，测试能用。-libsvm-3.17 enhancement tools
Update : 2025-02-17 Size : 620kb Publisher : Liquid
[AI-NN-PR] libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 0: 台湾大学林智仁的libsvm工具箱的增强版，集成了参数选择算法，十分好用。-Lin Zhiren Taiwan University, an enhanced version of libsvm toolbox integrates parameter selection algorithm, is very easy to use.
Update : 2025-02-17 Size : 2.36mb Publisher : Lee
[AI-NN-PR] libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 0: LIBSVM的工具包，里边含有已经编译过的make，64位.32位一般都可以直接使用，的安装vc。这个工具包添加ClassResult.m函数，方便给出各种分类准确率，以及给出判别函数的权值w、偏置b、支持向量在原始训练集中的位置索引以及alpha系数。-搜索图片地图新闻云端硬盘日历翻译相册更多 ▼ 翻译 LIBSVM toolkit has been compiled containing inside make, 64 位 .32 bit can generally be used directly install vc. Right this kit to add ClassResult.m function to facilitate a variety of classification accuracy is given, and given the value of the discriminant function w, bias b, support vector in the original training set position index and alpha coefficients. Google 翻译（企业版）：译者工具包网站翻译器全球商机洞察关闭即时翻译关于 Google 翻译移动隐私权政策帮助发送反馈
Update : 2025-02-17 Size : 1.42mb Publisher : 时局
[matlab] libsvm-mat-2.89-3[FarutoUltimate3.0] DL : 0: SVM分类、回归预测，frauto版本，很好用-matlab SVC SVR
Update : 2025-02-17 Size : 811kb Publisher : 闫星星
[Other] libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 0: libsvm3.1-farutoUltimate版本.1.基于目前的最新的libsvm-3.1编写。 2.对原来的部分代码进行了重新优化。 3.添加ClassResult.m函数，方便给出各种分类准确率，以及给出判别函数的权值w、偏置b、支持向量在原始训练集中的位置索引以及alpha系数。-libsvm3.1-farutoUltimate version .1. Based on current latest libsvm-3.1 compilation. 2. The original part of the code has been re-optimized. 3. Add ClassResult.m right function, easy to give a variety of classification accuracy, and given the value of the discriminant function w, the bias b, support vector in the original training set position index and alpha coefficients.
Update : 2025-02-17 Size : 1.33mb Publisher :
[AI-NN-PR] libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 0: libsvm 带GUI libsvm 带GUI libsvm 带GUI libsvm 带GUI-Libsvm u5E26GUI libsvm u5E26GUI libsvm u5E26GUI libsvm u5E26GUI
Update : 2025-02-17 Size : 1.26mb Publisher : 岳先森
[AI-NN-PR] 成功libsvm-3.1-[FarutoUltimate3.1Mcode] DL : 0: 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 description (English), and use this tool kit to achieve a time series forecasting papers you want to help.)
Update : 2025-02-17 Size : 1.16mb Publisher : 冰澜
[simulation modeling] 参考文献 DL : 1: 支持向量机算法，libsvm，可以建模仿真(SVR libsvm-3.1-[FarutoUltimate3.1Mcode])
Update : 2025-02-17 Size : 80.09mb Publisher : 全信
[matlab] libsvm-mat-2[1].89-3[FarutoUltimate3.0Mcode] DL : 0: 一般的支持向量机只支持二分类，使用libsvm可以实现多分类，原理也是基于二分类，然后在使用投票机制，经测验，libsvm的分类精度可达85%以上(Multi class supported by libsvm,after testing, the classification accuracy can reach 85%.)
Update : 2025-02-17 Size : 456kb Publisher : 韩alan

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