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libsvm a Library for Support Vector Machines.pdf

支持向量机的经典教程。详细介绍了该算法的原理和具体的代码实现!
2009-06-09 上传大小:285KB
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qq19364199 挺实用的 最近在看SVM 虽然看的不是很懂 需要进一步琢磨
2015-08-24
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a Library for Support Vector Machines

libsvm:a Library for Support Vector Machines

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LIBSVM (MATLAB/OCTAVE interface of LIBSVM)

This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the same as that of LIBSVM.

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chapter——GA。m

本代码是由 faruto and liyang 编写,转发供分享 。LIBSVM-farutoUltimateVersion % a toolbox with implements for support vector machines based on libsvm, 2009. % Software available at http://www.ilovematlab.cn % % Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for % support vector machines, 2001. Software available at % http://www.csie.ntu.edu.tw/~cjlin/libsvm

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a library for support vector machines

libsvm--a library for support vector machines .its goal is to help ueers to easily use svm as a tool.

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A Practical Guide to Support Vector Classification

A Practical Guide to Support Vector Classification Chih-Jen Lin Department of Computer Science National Taiwan University libsvm指导PPT

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LIB_SVM -A Library for Support Vector Machines

introduction of the widely used library-- SVM

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liblinear1.93

LIBLINEAR is a simple package for solving large-scale regularized linear classification and regression. It currently supports - L2-regularized logistic regression/L2-loss support vector classification/L1-loss support vector classification - L1-regularized L2-loss support vector classification/L1-regularized logistic regression - L2-regularized L2-loss support vector regression/L1-loss support vector regression. When to use LIBLINEAR but not LIBSVM ==================================== There are some large data for which with/without nonlinear mappings gives similar performances. Without using kernels, one can efficiently train a much larger set via linear classification/regression. These data usually have a large number of features. Document classification is an example. Warning: While generally liblinear is very fast, its default solver may be slow under certain situations (e.g., data not scaled or C is large). See Appendix B of our SVM guide about how to handle such cases. http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf Warning: If you are a beginner and your data sets are not large, you should consider LIBSVM first. LIBSVM page: http://www.csie.ntu.edu.tw/~cjlin/libsvm

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A Tutorial On Support Vector Machines For Pattern Recognition

A Tutorial On Support Vector Machines For Pattern Recognition

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A Tutorial on Support Vector Regression

A Tutorial on Support Vector Regression In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation. Furthermore, we include a summary of currently used algorithms for training SV machines, covering both the quadratic (or convex) programming part and advanced

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SVM支持向量机介绍

A Gentle Introduction to Support Vector Machines in Biomedicine

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libsvm-2.91

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.

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最新android-support library

android support library包含support v4,support v7等android兼容库

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Android Support Library 23.2官网下载

当我们谈论安卓支持库(Android Support Library)的时候,应该意识到这不是一个库,而是一套库的集合 ,它们旨在无需新平台的情况下,提供API的向后兼容版本以及新功能。 23.2 版本添加了一些新的支持库,同时还为现有的库增加了新特性。

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Android Support Library 22.2.0

Android Support Library 22.2.0 中增加了 Design Support Library 用来在低版本中支持 Material Design.

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android support library

下载好后将此目录拷贝到android sdk目录下的extras/android文件夹下 在eclipse中使用如下 1Go to your project in the navigator, right click on properties.打开属性properties 2Go to the Java Build Path tab on the left.进入java build path界面 3Go to the libraries tab on top.点击libraries界面 4Click add external jars.点击add external jars按钮 5Go to your ADT Bundle folder, go to sdk/extras/android/support/v7/appcompat/libs.到你刚才放support的目录找到support/v7/appcompat/libs 6Select the file android-support-v7-appcompat.jar选择v7jar包 7Go to order and export and check the box next to your new jar.在order and export确定 Click ok.

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Android Support Library 解压包

该文件夹是Extras/Android Support Library 的解压包 使用方法:必须先用sdk manager.exe安装了其他的依赖包后,再使用(不然找不到extra文件夹)。 直接复制该文件夹到Android sdk目录下的extras/android 下即可 测试是否成功,可以打开sdk mananger,如果extra 显示installed 代表成功安装

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Android Support Library(支持v4 v7 v13 v17等)23.2 官方版

support library 23.2是一款可以帮助您完成安卓软件开发的工具,当您在调试安卓软件或者开发新软件的时候,可能会遇到软件版本不兼容系统的问题,这时候下载这款专业的支持库插件,就可以在开发的时候获得更多的系统兼容,让旧版本的系统可以正常执行新版的软件,从而减少系统配置不兼容的问题;Android Support Library主要可以让您在更多的环境下执行Android代码,方便您在设计的过程中调节系统的环境,需要的朋友可以下载试试!

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SDK Manager中Extras下没有Android Support Library.docx

SDK Manager中Extras下没有Android Support Library.docx

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android support library 23

android support library 23android support library 23android support library 23android support library 23android support library 23android support library 23android support library 23android support library 23

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android support library 23 绿色版

直接解压复制到sdk安装路径extras\android文件夹下,打开sdk管理就可以看到

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