搜索资源列表
libsvm-2.33
- LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.
libsvm-2.8
- libsvm升级到2.8版本，针对新的代码稍做修改，重新排版，修正了原版中部分错误 -libsvm upgrading to 2.8 edition,do little chinging on new edition,set up new type,and changing some mistake of original edition.
libsvm-2.81
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic
libsvm-2.5
- 源码为libsvm2.5和2.6的程序导读 欢迎大家探讨 为c++代码说明解释-libsvm2.5 source for the procedure and 2.6 Guide to welcome you to explore c code giving explanations
libsvm-2.84
- 这是一款最新的libsvm工具箱，能在windows与unix环境下运行
libsvm-2.32
- libsvm 2.32版源码，一个SVM(支持向量机)的源码以及可执行程序
libsvm-2.85-dense
- 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。
SVM(libsvm)
- 林智仁编写的著名的SVM代码(libsvm-2[1]
LibSVM-2.6
- LibSVM-2.6 程序代码注释 通用的支持向量机算法研究平台
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
libsvm-2.88.tar
- 此是关于lisvm的编程，有助于我们很好的学习svm，可以好好的学习学习-This is about the lisvm programming, help us to good learning svm, could well learn
libsvm-mat-2.86-1
- libsvm(matlb SVM code)可以使用來作為分類 -libsvm(matlb SVM code)it is a function used to classify data
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-mat-2.87-1
- libsvm在matlab中的应用。把libsvm嵌入matlab中调用。-libsvm in matlab application. Embedded matlab to call libsvm.
libsvm-2.87
- 使用svm实现了分类和拟合功能 带有源文件，包括了java版本和c++版本 -Achieved using the SVM classification and fitting function with the source documents, including a java version and c++ Version
libsvm-2.88
- 支持向量机算法- SVM
libsvm-2.82
- 一种应用广泛的分类算法，可以很好的解决很多类型的分类问题。-sort algorithm
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
libsvm-2.32
- libsvm的java的源代码，可以在java环境下直接运行，功能强大-libsvm the java source code, you can directly run the java environment, powerful
libsvm-2.9
- libsvm-2.9，svm的基本程序，台湾人编写的，是学习理解模式识别比较重要的调试程序。-libsvm-2.9, svm basic procedures, written in Taiwanese, is more important to learn to understand pattern recognition debugger.