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www.eeworm.com/read/359401/10147518
txt readme.txt
THREE VQ CODEBOOK TRAINING ALGORITHMS
Copyright (c) by Jialong He, all rights reserved.
Introduction:
-------------
In this package, I implemented three codebook training
algorithms, i
www.eeworm.com/read/161538/10398390
m libsvmopt.m
% LIBSVMOPT Optimize Support Vector Machine with LIBSVM.
%
% SVM Classification:
% svm = libsvmopt(x,y,C,ker);
% svm = libsvmopt(x,y,nu,ker,'style','nu');
%
% One-Class SVM:
% svm = libsvmop
www.eeworm.com/read/160517/10522606
m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO
www.eeworm.com/read/160516/10522988
m setcost.m
%SETCOST Reset classification cost matrix of dataset
%
% A = SETCOST(A,COST,LABLIST)
%
% The classification cost matrix of the dataset A is reset to COST.
% COST should have size [C,C+n], n >= 0, if
www.eeworm.com/read/417061/11004951
readme
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
www.eeworm.com/read/416415/11030545
m pnndemo.m
% PNNDEMO -- Probabilistic Neural Network Demo m-file
% Ron Shaffer
% Naval Research Laboratory
% 3-21-96
%
fprintf ('Probabilistic Neural Network Demo \n')
fprintf ('Ron Shaffer \n')
fprintf (
www.eeworm.com/read/299984/7140117
m setcost.m
%SETCOST Reset classification cost matrix of dataset
%
% A = SETCOST(A,COST,LABLIST)
%
% The classification cost matrix of the dataset A is reset to COST.
% COST should have size [C,C+n], n >= 0, if
www.eeworm.com/read/299984/7140562
m reject.m
%REJECT Compute the error-reject trade-off curve
%
% E = REJECT(D);
% E = REJECT(A,W);
%
% INPUT
% D Classification result, D = A*W
% A Dataset
% W Cell array of trained classifiers
www.eeworm.com/read/299984/7140596
m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO