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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
shu2
- 2.[问题描述] 编写递归算法，在二叉树中求位于先序序列中第K个位置的结点 [输入] 按照先序序列的顺序输入该结点的内容。其输入abd eh cf i g 。输入要求的位置 [输出] 若二叉树不空，按先序序列输出，求出所求位置的结点 [存储结构] 采用二叉表存储 [算法的基本思想] 采用递归方法建立和遍历二叉树。首先建立二叉树的根结点，然后建立其左右子树，直到空子树为止，先序遍历二叉树时，先遍厉左子树，后遍厉右子树，最后访问根结点并计算出二叉树中叶子结点
LiScNLS
- LiScNLS is a Matlab application for the numerical study of some nonlinear differential equations of the form Lu=Nu, using the Lyapunov-Schmidt method. Downloading the LiScNLS package creates a new LiScNLS folder on the computer.
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
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
pro
- 如果采用单链表保存单词，可采用如下办法压缩存储空间。如果两个单词的后缀相同，则可以用同一个存储空间保存相同的后缀。例如，原来分别采用单链表保存的单词Str1“abcdef”和单词Str2“dbdef”，经过压缩后的存储形式如下。 请设计一个高效的算法完成两个单链表的压缩存储，并估计你所设计算法的时间复杂度。 要求：阅读预设代码，编写函数SNODE * ziplist( SNODE * head1, SNODE * head2 ) ziplist的功能是：
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
integrate(nu)
- This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral
GMM
- Generalized Method of Moments(GMM) 广义矩方法，是用来估计模型参数的计量经济学过程。具体说明见其中的gmmdoc.pdf。-Generalized Method of Moments (GMM) GMM method is used to estimate model parameters Econometrics process. See which specify gmmdoc.pdf.
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
chi2test
- 给定一批的样本，当然这些样本间必须相互独立。如果Q > chi2(p, nu)，假设拒绝，否则通过。 ARGUMENTS: x Absolut numbers. p The prob ability value, calculated from Q. Q The resulting Q-value.-A given batch of samples, of course, among these samples must be independent of each
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.
nu
- 用于解反问题的算法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-The algorithm for solution of the inverse problem, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
CFDconvection
- CFD code for entrance length NU number
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,
crc
- Informatiile schimbate intre diferite sisteme sunt codificate, pentru a realiza adaptarea statistica a sursei la canalul de comunicatie. Canalul de comunicatie poate fi afectat sau nu de perturbatii.Un canal neperturbat ar corespunde -
shizilianbiao
- typedef struct OLNode { int i,j ElemType e struct OLNode *right,*down } OLNode, *OLink typedef struct { OLink *rhead,*chead int mu,nu,tu } CrossList 十字链表法，求解稀疏矩阵运算，程序容易看懂。不过没有乘法-typedef struct OLNode { int i,j E
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
nu
- 神经网络的字符识别论文，很有帮助-Neural network character recognition paper and helpful