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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-
SVM
- 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 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machin
libsvm_setup
- 这是台湾大学林智仁(Lin Chih-Jen)副教授等人开发的SVM模式识别与回归的软件包，该软件可以解决C-SVM分类、-SVM分类、-SVM回归和-SVM回归等问题，包括基于一对一算法的多类模式识别问题。-This is the National Taiwan University, Lin Zhiren (Lin Chih-Jen), associate professor, who developed SVM pattern recognition and regression of t
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
libsvm-2.88
- 支撑向量机SVM的工具LIBSVM，能够在windows平台下通过命令行使用，也可以在matlab下调用，适合于研究复杂条件下的分类问题-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
libsvm.tar
- library for SVMclassification 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 model selection tool for C-SVM classification.
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
SVM_luzhenbo
- 支持向量机工具箱，包括了二种分类,二种回归,以及一种一类支持向量机算法。 -Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
Libsvm2.32
- libsvm的是一个简单，易于使用和高效的软件的SVM 分类与回归。它可以解决ç - SVM分类， 努SVM分类，一类支持向量机，ε- SVM的回归， 和Nu - SVM的回归。本文件解释了libsvm的使用。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification,
libsvm3
- 台湾林智仁编写的支持向量机开源程序，可用于分类（C-SVC，nu-SVC，one-class SVM）和回归（epsilon-SVR，nu-SVR）。这是最新版本3.0。-Libsvm3.0 is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-cla
multiClass_svm
- 一个svm(向量机)分类算法本质上是二类分类器代码，实现多类分类的方法一般是将多类分类看作是多个一对多的二类分类器。本程序源码就是一种基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。-A svm (vector machine) classification algorithm is essentially a second-class classification code, multi-class classification methods are generally
oneclass_svm
- one class svm 单分类问题，其中有测试的代码和详细的代码解释-one class svm single classification test code and code explained
SVM_One_Class
- 基于单类SVM的说话人语音分割的算法源程序-Based on one-class SVM speaker segmentation source code
demo_libsvm
- How to install the libsvm for MATLAB on Unix machine Linear-kernel SVM for binary classification kernel SVM for binary classification cross validation for C and Gamma multi-class SVM: one-vs-rest (OVR) More ready-to-use matlab example Ava
chen2013
- A NEW ONE-CLASS SVM FOR ANOMALY DETECTION
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
libsvm-3.22
- libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it impl
sa_svdd-master
- 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 model
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)