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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
svm
- 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
MAIN 3-DIMENSIONAL CFD-PROGRAM
- #//u(i,j) x方向的速度u;或者θ方向速度uθ #//u(i,j) y方向的速度v;或者径向速度ur'h\K #//pc(i,j) 压力修正 p'[OS #//p(i,j) 压力p-=5-+ #//p(i,j)
libsvm-2.9
- 支持向量机的代码库，使用简单，主要用途是基于支持向量机的分类和回归。还包括C-SVM，nu-SVM，一类SVM，epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-
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
- 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
- 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.tar
- library for SVMclassification 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.
gridsearch
- 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well. Usage: grid.py [-log2c begin,end,step] [-log2g begin
numerical-methods-1211798205859074-8
- Input - f is the function input as a string f - df is the derivative of f input as a string df - p0 is the initial approximation to the zero of f - delta is the tolerance for p0 - epsilon is the tolerance for the function
Libsvm2.32
- libsvm的是一个简单，易于使用和高效的软件的SVM 分类与回归。它可以解决ç - SVM分类， 努SVM分类，一类支持向量机，ε- SVM的回归， 和Nu - SVM的回归。本文件解释了libsvm的使用。-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification,
Main_SVR_Epsilon
- One-Class支持向量机工具箱中程序均在Matlab6.5环境中调试通过，不能保证在Matlab其它版本正确运行-One-Class Support Vector Machine Toolbox procedures are adopted in the Matlab6.5 debug environment can not guarantee that other versions of Matlab to run correctly
1
- Matlab Program to calculate Machine epsilon
Main_SVR_Epsilon
- Main_SVR_Epsilon Epsilon回归法解支持向量机，程序直接可以运行，有构造的模拟数据
svm4
- -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
libsvm3
- 台湾林智仁编写的支持向量机开源程序，可用于分类（C-SVC，nu-SVC，one-class SVM）和回归（epsilon-SVR，nu-SVR）。这是最新版本3.0。-Libsvm3.0 is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-cla
eMOEA
- an epsilon Multi-Objective EA
one_dimensional_fem_nonlinear
- One dimensional problem in class (nonlinear) Geometry: A=1, uniform cross-section L=2, total length of bar BC at x=0, u=0 BC at x=L, f=3.75 Material : nonlinear elastic E=10 sigma=E*(epsilon+epsilon^3)- One dimensional problem in cla
Epsilon Twin Support vector machine
- This is the matlab code of Epsilon Twin Support vector machine
epsilon-based
- epsilon constraint method mcdm