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h ndbd_exit_codes.h

/* Copyright (C) 2003 MySQL AB This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Fou
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www.eeworm.com/read/290144/8502206

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
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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
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www.eeworm.com/read/289710/8533828

m mysvm.m

clear;clc; load('Examples\Classification\iris2v13.mat') [nsv, alpha, bias] = svc(X,Y,ker,C) [h] = svcplot(X,Y,ker,alpha,bias)
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www.eeworm.com/read/289416/8552742

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
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www.eeworm.com/read/289334/8558658

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
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www.eeworm.com/read/289334/8558660

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
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www.eeworm.com/read/388611/8597165

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
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www.eeworm.com/read/386050/8767500

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
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www.eeworm.com/read/384922/8833948

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
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