代码搜索：classification
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www.eeworm.com/read/288515/8627570
h bruyn_common.h
#ifndef BRUYN_COMMON_H
#define BRUYN_COMMON_H
#include "pgm.h"
// for block type classification
#define BLOCKTYPE_UNKNOWN 0
#define BLOCKTYPE_HARD 1
#define BLOCKTYPE_PROGRESSIVE 2
#define BLOCKTYPE
www.eeworm.com/read/130466/14192747
h bruyn_common.h
#ifndef BRUYN_COMMON_H
#define BRUYN_COMMON_H
#include "pgm.h"
// for block type classification
#define BLOCKTYPE_UNKNOWN 0
#define BLOCKTYPE_HARD 1
#define BLOCKTYPE_PROGRESSIVE 2
#define BLOCKTYPE
www.eeworm.com/read/438960/7718638
pdf s02 - ip qos classification and marking.pdf
www.eeworm.com/read/438540/7729972
pdf selection of significant independent components for ecg beat classification.pdf
www.eeworm.com/read/239408/13281419
pdf cooperation of color pixel classification schemes and color watershed.pdf
www.eeworm.com/read/151411/12214189
pdf face recognition using component-based svm classification .pdf
www.eeworm.com/read/189194/8485834
cla rule4reg.cla
classification
4 2
0
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 0.0 2.3333 2.3333 4.6666
1
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 2.3333 4.6666 4.6666 7.0
2
x trapezoid 2.3333 4.666
www.eeworm.com/read/386050/8767726
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/386050/8769039
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/386050/8769159
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