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libsvm-2.81
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic
svm_v0.01beta.tar
- New in this version: Support for multi-class pattern recognition using maxwins, pairwise [4] and DAG-SVM [5] algorithms. A model selection criterion (the xi-alpha bound [6,7] on the leave-one-out cross-validation error). -New in this version
libsvm-2.82.tar
- 我一直覺得 SVM 是個很有趣的東西,不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師 的 Data mining 跟 SVM 的課; 後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後,就想整理一下,算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門.-SVM I always think that is something very interesting, but we also have no way (mostly Chong Ton
BPC++
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
n_psvm
- n类PSVm 算法程序,相对于svm运算速度较快-n Class PSVm algorithm procedures, in relation to computing speed svm
svmmatlabSORCE
- 支撑矢量机 class CvSVM : public CvStatModel //继承自基类CvStatModel { public: // SVM type enum { C_SVC=100, NU_SVC=101, ONE_CLASS=102, EPS_SVR=103, NU_SVR=104 } //SVC是SVM分类器,SVR是SVM回归 // SVM kernel type -class Support Vector Machine CvSVM
svmmatlab4
- % 支持向量机Matlab工具箱1.0 - One-Class SVM, 一类支持向量机 % 使用平台 - Matlab6.5 希望对大家有用
libsvm-2.85-dense
- LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包,可以解决分类问题(包括C- SVC、 n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM ) 等问题,提供了线性、多项式、径向基和S形函数四种常用的核函数供选择,可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。
libsvm-2.89
- LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包,可以解决分类问题(包括C- SVC、 n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM ) 等问题,提供了线性、多项式、径向基和S形函数四种常用的核函数供选择,可 以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概 率估计等.
libsvm-2.9
- 支持向量机的代码库,使用简单,主要用途是基于支持向量机的分类和回归。还包括C-SVM,nu-SVM,一类SVM,epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-
Image-Classification
- 对SVM多类分类算法进行了研究,总结了不同分类算法的优缺点。接下来本文提出了基于GA(遗传算法)和KNN(K近邻)的SVM多类分类算法-The SVM multi-class classification algorithms studied, summed up the advantages and disadvantages of different classification algorithms. The next paper, based on GA (genetic algorit
libsvm-2.85
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
svmTrain
- 一个matlab平台应用的svm工具箱,该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法-A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm
SVMRFE.m
- 基于RFE特征选择方法的多分类特征排序,Matlab平台(Multi class feature ranking based on RFE method)
hog_svm
- 这文件夹包含了,hog特征提取,多类SVM分类器,数据库,图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)
sxxx
- matlab file training for student university in class
pplane7
- matlab file training for student in class 6
AverageBandPowers
- SVM模式分类,用于处理多种分类,此数据分类多种(SVM for class english is not good look at it)
SVMpaper
- 上传一篇论文,有关SVM的论文,发在PKDD2016,供大家参考(A Novel Incremental Covariance-Guided One-Class Support Vector Machine)
libsvm-mat-2[1].89-3[FarutoUltimate3.0Mcode]
- 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%.)