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www.eeworm.com/read/130490/14190146
xml preface.xml
Preface
This is the beginnings of documentation for SelectSupervised Learning Email Classification Tool
www.eeworm.com/read/128468/14295378
m bayesdemo2.m
% BAYESDEMO2 demo on Bayes classifiation and error estimation.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.c
www.eeworm.com/read/125950/14453771
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/225111/14555551
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/122236/14712449
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/215983/15031285
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/213492/15133692
m~ cerror.m~
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(y1,y2)
% error = cerror(y1,y2,label)
%
% Description:
% error = cerror(y1,y2) returns clas
www.eeworm.com/read/213492/15133693
m cerror.m
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(ypred,ytrue)
% error = cerror(ypred,ytrue,label)
%
% Description:
% error = cerror(ypred,y