Location:
Search - one-class SVM
Search list
Description: 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 selection tool for
C-SVM classification. This document explains the use of libsvm.
Platform: |
Size: 296065 |
Author: baolij |
Hits:
Description: 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 : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG- SVM [5] algorithms. A mode l selection criterion (the xi-alpha bound [6, 7] on the leave-one-out cross-validation erro r).
Platform: |
Size: 43008 |
Author: 吴成 |
Hits:
Description: 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 selection tool for
C-SVM classification. This document explains the use of libsvm.
-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classificatio n, nu-SVM classification, one-class-SVM. epsilon- SVM regression. and nu-SVM regression. It also provides an auto matic model selection tool for C-SVM classific ation. This document explains the use of libsvm .
Platform: |
Size: 7168 |
Author: pangjiufeng |
Hits:
Description: 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 selection tool for
C-SVM classification. This document explains the use of libsvm.
Platform: |
Size: 295936 |
Author: baolij |
Hits:
Description: 支持向量机Matlab工具箱1.0 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 工具箱中所有程序均在Matlab6.5环境中调试通过-Support Vector Machines Matlab Toolbox 1.0 The toolbox includes two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm toolbox all procedures are in Matlab6.5 debugging environment through
Platform: |
Size: 229376 |
Author: 王月领 |
Hits:
Description: % 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- Support Vector Machines Matlab Toolbox 1.0- One-Class SVM, one-class SVM using the platform- Matlab6.5 hope useful for everyone
Platform: |
Size: 2048 |
Author: 黎明 |
Hits:
Description: 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 source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
Platform: |
Size: 24576 |
Author: 刘铁军 |
Hits:
Description:
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 is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.
Platform: |
Size: 518144 |
Author: 小潘 |
Hits:
Description: 多分类问题的支持向量机源程序一对一方法
绝对可以运行-Multi-class SVM using One-Against-One decompositionoao
Platform: |
Size: 608256 |
Author: ym |
Hits:
Description: 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
-Easy to use, fast and effective generic SVM software package can solve the classification problems (including the C-SVC, n- SVC), regression (including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM
Platform: |
Size: 3941376 |
Author: yuanmin |
Hits:
Description: svm Main_SVM_One_Class 用于svm分类的 在matlab中运用 -svm classification svm Main_SVM_One_Class for use in matlab
Platform: |
Size: 2048 |
Author: 丛宽 |
Hits:
Description: 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。
2.89版本是09年刚更新的一个版本。-LIBSVM
Platform: |
Size: 566272 |
Author: woyaofei |
Hits:
Description: 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 selection tool for
C-SVM classification. This document explains the use of libsvm.
Platform: |
Size: 964608 |
Author: bai |
Hits:
Description: 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-SVM software package can solve the classification problems (including the C-SVC, n- SVC), regression (including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and other issues
Platform: |
Size: 32768 |
Author: hanzeyu |
Hits:
Description: -s svm类型:SVM设置类型(默认0)
0 -- C-SVC
1 --v-SVC
2 – 一类SVM
3 -- e -SVR
4 -- v-SVR
-t 核函数类型:核函数设置类型(默认2)
0 – 线性:u v
1 – 多项式:(r*u v + coef0)^degree
2 – RBF函数:exp(-r|u-v|^2)
3 –sigmoid:tanh(r*u v + coef0)
-d degree:核函数中的degree设置(针对多项式核函数)(默认3)
-g r(gama):核函数中的gamma函数设置(针对多项式/rbf/sigmoid核函数)(默认1/ k)
-r coef0:核函数中的coef0设置(针对多项式/sigmoid核函数)((默认0)
-c cost:设置C-SVC,e -SVR和v-SVR的参数(损失函数)(默认1)
-n nu:设置v-SVC,一类SVM和v- SVR的参数(默认0.5)
-p p:设置e -SVR 中损失函数p的值(默认0.1)
-m cachesize:设置cache内存大小,以MB为单位(默认40)
-e eps:设置允许的终止判据(默认0.001)
-h shrinking:是否使用启发式,0或1(默认1)
-wi weight:设置第几类的参数C为weight*C(C-SVC中的C)(默认1)
-v n: n-fold交互检验模式,n为fold的个数,必须大于等于2--s svm_type : set type of SVM (default 0)
0-- C-SVC
1-- nu-SVC
2-- one-class SVM
3-- epsilon-SVR
4-- nu-SVR
-t kernel_type : set type of kernel function (default 2)
0-- linear: u *v
1-- polynomial: (gamma*u *v+ coef0)^degree
2-- radial basis function: exp(-gamma*|u-v|^2)
3-- sigmoid: tanh(gamma*u *v+ coef0)
4-- precomputed kernel (kernel values in training_instance_matrix)
-d degree : set degree in kernel function (default 3)
-g gamma : set gamma in kernel function (default 1/k)
-r coef0 : set coef0 in kernel function (default 0)
-c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1)
-n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5)
-p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1)
-m cachesize : set cache memory size in MB (default 100)
-e epsilon : set tolerance of termination criterion (default 0.001)
-h shrinking: whether to use the shrinking heuristics, 0 or 1 (default 1)
-b
Platform: |
Size: 17408 |
Author: little863 |
Hits:
Description: 用于学习的简单的SVM程序(作者:gloosli),里面有1类SVM-The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM
Platform: |
Size: 19456 |
Author: wangguangxue |
Hits:
Description: 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-The kit includes two kinds of classification, two kinds of regression, and a one-class support vector machine algorithm (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm
Platform: |
Size: 81920 |
Author: 李俊峰 |
Hits:
Description: 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 Machine Matlab Toolbox 1.0
Platform : Matlab6.5/Matlab7.0
Reference : Chih-Chung Chang, Chih-Jen Lin. "LIBSVM: a Library for Support Vector Machines"
Platform: |
Size: 11264 |
Author: scott |
Hits:
Description: SVM平台,操作简单、易于使用的通用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。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including C-SVC, n- SVC), regression (including e- SVR, n- SVR) and distribution estimation (one-class-SVM) and other issues, providing a linear, polynomial, radial basis functions and the S-shaped four commonly used kernel functions for selection.
Platform: |
Size: 633856 |
Author: 凡轩 |
Hits:
Description: 经典的单类相关向量机程序,比较实用,适合初学者-classical one-class SVM program,very practical and satisfied for the beginner
Platform: |
Size: 5120 |
Author: ZYL |
Hits: