代码搜索：classification
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www.eeworm.com/read/444698/7608155
doc readme.doc
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-S
www.eeworm.com/read/444297/7614379
m codice_b.m
%
% In order to obtain a simple and effective source code for
% Fingerprint Recognition System please visit
% http://utenti.lycos.it/matlab/beginner.htm
%
% There you will be able to make a sma
www.eeworm.com/read/442927/7641745
m crossceval.m
function [output, recogRate]=crosscEval(DS, coef)
%crosscEval: Evaluation of cross classifier
% Usage: [output, recogRate]=crosscEval(DS, coef)
% Roger Jang, 20041106
xCut=coef(1);
yCut=coef(
www.eeworm.com/read/441394/7671109
readme
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-S
www.eeworm.com/read/441245/7672693
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/438780/7727097
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/437640/7744419
txt readme file arragement.txt
-Readme File arragement.txt Give the File arragement
-Project Assignment 1.pdf Project paper
-exercise2.m Code for Computer exercises 2
|-breast_cancer_wisconsin Code for Problem breast cance
www.eeworm.com/read/436837/7761962
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/436088/7777268
txt todo.txt
TODO
* Ranker performance
Rank = IFinancialData.Performance
For this performance some metrics may be equivalent to financial metrics
* Libraries
Set clear guidelines for libraries
* Create
www.eeworm.com/read/398928/7908879
txt rec.txt
load Feretface
NumOfClass =120;
NumPerClass=6;
Data=Data(:,1:NumOfClass*NumPerClass);
Data=Data/256;
[rowData,colData] = size(Data);
K=3;
test=3;
%imresize image
for i=1:colData
TempDa