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[Othersvmmatlab4

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
Platform: | Size: 2634 | Author: 黎明 | Hits:

[Othersvm_v0.01beta.tar

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:

[MultiLanguagesvm_multiClass

Description: svm(支持向量机)分类算法本质上是二类分类器,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。本程序就是基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。配合中文分词(参见我上传的程序),可实现中文多类分本分类。-svm (support vector machine) classification algorithm is essentially a second-class classifier, multi-category classification methods in general is to multiclass classification is more than one-to-many as second-class classifier. This procedure is based on many types of svmlight of SVM classifiers to achieve. Classification please refer to interested users. With the Chinese word segmentation (see my uploaded program), can be realized at the Chinese multi-category classification.
Platform: | Size: 566272 | Author: maming | Hits:

[AI-NN-PRsvm

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:

[matlabSVMMatlabToolBar1.0

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:

[Othersvmmatlab4

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:

[AI-NN-PRSVM_Toolbox

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.
Platform: | Size: 228352 | Author: 李志 | Hits:

[AI-NN-PRlibsvm-2.88

Description: 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 regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification.
Platform: | Size: 518144 | Author: 雷源 | Hits:

[Graph programoao

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:

[AI-NN-PRMain_SVM_One_Class

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:

[matlablibsvm-2.89

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:

[AI-NN-PRlibsvm-2.89

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
Platform: | Size: 521216 | Author: 陳彥霖 | Hits:

[matlabsvmTrain

Description: 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
Platform: | Size: 1024 | Author: badjj | Hits:

[AI-NN-PRsimpleSVM_3

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:

[matlabSVM

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:

[Othermain

Description: This source code is for one time training of color images for the svm classification of the fruits (specifically used for apples). The SVM classifier used has been designed to work with multiple classes, whereas the code is utilizing only two class classification. This source code has been written using the core MATLAB programming.
Platform: | Size: 3072 | Author: Ajitpal Brar | Hits:

[matlabsvm-matlab-

Description: 支持向量机的源代码,可以实现分类和回归分析。-ctions on Intelligent Systems and Technology ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail. we show formulations used in LIBSVM: C-support vector classifica-tion (C-SVC), ν-support vector classification (ν-SVC), distribution estimation (one-class SVM), -support vector regression (-SVR), and ν-support vector regression (ν-SVR). We discuss the implementation of solving quadratic problems
Platform: | Size: 623616 | Author: guolei | Hits:

[Energy industrydemo_libsvm

Description: 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 Available matlab codes to download
Platform: | Size: 1572864 | Author: hoangthom | Hits:

[Othersa_svdd-master

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: 2918400 | Author: 刘晓颖 | Hits:

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