资源简介
用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
代码片段和文件信息
function b = binomial(nk)
%BINOMIAL compute binomial coefficient
%
% Usage: b = binomial(nk)
%
% Parameters: ( n )
% b = ( )
% ( k )
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~=2 | k>n | k<0 | n<0) % check correct number of arguments
help binomial
else
b = prod(k+1:n)/prod(1:(n-k));
end
属性 大小 日期 时间 名称
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文件 371 1997-09-19 08:35 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\binomial.m
文件 144 1998-05-01 11:47 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\centrefig.m
文件 1728 1997-08-13 15:33 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\cmap.mat
文件 1105 1998-08-07 16:24 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Contents.m
文件 2696 1997-09-28 16:24 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Classification\iris1v23.mat
文件 2696 1997-09-28 16:25 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Classification\iris2v13.mat
文件 2696 1997-09-28 16:25 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Classification\iris3v12.mat
文件 672 1997-11-06 15:46 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Classification\linsep.mat
文件 712 1997-11-06 15:49 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Classification\nlinsep.mat
文件 744 1997-11-07 15:15 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Regression\example.mat
文件 1056 1997-08-20 15:01 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Regression\sinc.mat
文件 1096 1997-09-27 23:30 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Examples\Regression\titanium.mat
文件 76534 2001-10-26 14:23 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\newsvm.zip
文件 457 1998-08-06 16:39 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\nobias.m
文件 27 2001-10-11 15:14 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Optimiser\Makefile
文件 16731 2001-10-11 15:14 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Optimiser\pr_loqo.c
文件 2388 2001-10-11 15:14 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Optimiser\pr_loqo.h
文件 7245 2001-10-11 15:14 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Optimiser\qp.c
文件 49152 2001-10-26 14:21 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\Optimiser\qp.dll
文件 49152 2001-10-26 14:21 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\qp.dll
文件 2642 2001-10-12 15:27 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\README
文件 312 1998-04-21 21:25 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\softmargin.m
文件 2687 1998-08-21 12:03 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svc.m
文件 837 1998-08-21 11:04 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svcerror.m
文件 1228 1998-03-10 16:14 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svcinfo.m
文件 973 1998-04-21 21:24 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svcoutput.m
文件 3109 2001-10-12 01:50 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svcplot.m
文件 1299 1998-06-23 11:09 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svdatanorm.m
文件 2608 2001-10-11 15:44 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svkernel.m
文件 3982 1998-08-21 15:36 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source can achieve a support vector machine for the feature classification or extract\svr.m
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