代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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m fishdemo.m

function []=fishdemo(action,hfigure,varargin) % FISHDEMO demo on algorithms which learn Fisher's classifer. % % FISHDEMO demonstrates use of algorithms finding the Fisher's % classifier. The task is
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www.eeworm.com/read/449035/1683051

m fishdemo.m

function []=fishdemo(action,hfigure,varargin) % FISHDEMO demo on algorithms which learn Fisher's classifer. % % FISHDEMO demonstrates use of algorithms finding the Fisher's % classifier. The task is
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www.eeworm.com/read/430506/1929402

m pbayescln.m

function pbayescln(MI,SIGMA,Pk,background, linestyle) % PBAYESCLN vizualizes Bayes classifier discriminant in 2D. % pbayescln(MI,SIGMA,Pk,background, linestyle ) % % This fucntion vizualizes discrimi
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www.eeworm.com/read/430506/1929550

m fishdemo.m

function []=fishdemo(action,hfigure,varargin) % FISHDEMO demo on algorithms which learn Fisher's classifer. % % FISHDEMO demonstrates use of algorithms finding the Fisher's % classifier. The task is
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www.eeworm.com/read/428780/1954116

m pboundary.m

function varargout=pboundary(model,options) % PBOUNDARY Plots decision boundary of given classifier in 2D. % % Synopsis: % h = pboundary(model) % h = pboundary(model,options) % % Description: % Thi
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www.eeworm.com/read/428780/1954177

m psvm.m

function varargout=psvm(model,options) % PSVM Plots decision boundary of binary SVM classifier. % % Synopsis: % h = psvm(...) % psvm(model) % psvm(model,options) % % Description: % This function s
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www.eeworm.com/read/428780/1954178

m pboundary.m

function varargout=pboundary(model,options) % PBOUNDARY Plots decision boundary of given classifier in 2D. % % Synopsis: % h = pboundary(model) % h = pboundary(model,options) % % Description: % Thi
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www.eeworm.com/read/428780/1954247

m perceptron.m

function model=perceptron(data,options,init_model) % PERCEPTRON Perceptron algorithm to train binary linear classifier. % % Synopsis: % model = perceptron(data) % model = perceptron(data,options) %
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www.eeworm.com/read/411379/2188959

m getsv.m

function sv = getsv(net) % GETSV % % Accessor method returning the support vectors of a support vector % classifier network. % % sv = getsv(net); % % File : @svc/getsv.m % % D
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www.eeworm.com/read/411379/2188962

m getw.m

function w = getw(net) % GETW % % Accessor method returning the weights of a support vector classifier network. % % w = getw(net); % % File : @svc/getw.m % % Date : Tuesd
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