代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
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www.eeworm.com/read/360995/10069897
m dlpdd.m
function W = dlpdd(x,nu,usematlab)
%DLPDD Distance Linear Programming Data Description
%
% W = DLPDD(D,NU)
%
% This one-class classifier works directly on the distance (dissimilarity)
% matrix
www.eeworm.com/read/164407/10110733
h gnaivebayes.h
#ifndef __GNAIVEBAYES_H__
#define __GNAIVEBAYES_H__
#include "GLearner.h"
class GXMLTag;
class GPointerArray;
struct GNaiveBayesOutputAttr;
// A naive Bayes classifier
class GNaiveBayes : public GS
www.eeworm.com/read/164014/10135189
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/280595/10311658
m quadclass.m
function [y,dfce]=quadclass( X, model)
% QUADCLASS Quadratic classifier.
%
% Synopsis:
% [y,dfce] = quadclass(X,model)
%
% Description:
% This function classifies input data X using quadratic
% dis
www.eeworm.com/read/280595/10311947
m~ rspoly2.m~
function red_model = redquadh(model)
% REDQUADH reduced SVM classifier with homogeneous quadratic kernel.
%
% Synopsis:
% red_model = redquadh(model)
%
% Description:
% It uses reduced set techique
www.eeworm.com/read/280595/10312090
m redquadh.m
function red_model = redquadh(model)
% REDQUADH reduced SVM classifier with homogeneous quadratic kernel.
%
% Synopsis:
% red_model = redquadh(model)
%
% Description:
% It uses reduced set techique
www.eeworm.com/read/280595/10312184
m tune_ocr.m
% TUNE_OCR Tunes SVM classifier for OCR problem.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Multi-class SVM is
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/159921/10587858
m bayescln.m
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%
www.eeworm.com/read/159921/10587875
m~ bayescln.m~
function [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
% BAYESCLN Bayes classifier for Gaussian distributiuon.
% [I,Pkx]=bayescln(X,MI,SIGMA,Pk)
%
% This function classifies into the class according to the
%