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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.
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Size: 296065 |
Author: baolij |
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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).
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Size: 43008 |
Author: 吴成 |
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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 .
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Size: 7168 |
Author: pangjiufeng |
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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.
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Size: 295936 |
Author: baolij |
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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
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Size: 229376 |
Author: 王月领 |
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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
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Size: 2048 |
Author: 黎明 |
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Description: Matlab源代码,包括支持向量机分类算法(SVC_C,SVC_Nu),回归算法(SVR_Epsilon,SVR_Nu),以及One-Class算法。-Matlab source code, including support vector machine classification algorithm (SVC_C, SVC_Nu), regression algorithm (SVR_Epsilon, SVR_Nu), as well as the One-Class algorithm.
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Size: 228352 |
Author: 李志 |
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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.
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Size: 24576 |
Author: 刘铁军 |
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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.
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Size: 518144 |
Author: 小潘 |
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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
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Size: 608256 |
Author: ym |
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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
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Size: 3941376 |
Author: yuanmin |
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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
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Size: 2048 |
Author: 丛宽 |
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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
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Size: 566272 |
Author: woyaofei |
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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.
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Size: 964608 |
Author: bai |
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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
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Size: 32768 |
Author: hanzeyu |
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Description: 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 LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java interfaces
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Size: 521216 |
Author: 陳彥霖 |
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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
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Size: 81920 |
Author: 李俊峰 |
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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"
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Size: 11264 |
Author: scott |
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Description: java支持向量机One-class程序,包括训练、预测文本的读取,设置好路径和文本格式,可运行-java svm one_class
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Size: 1024 |
Author: 风游晴天 |
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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
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Size: 5120 |
Author: ZYL |
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