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/183443/9158824

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a support vector classifier network using the specified tutor. % % load data/iris x y; % % C = 100; % kernel = r
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www.eeworm.com/read/181389/9256454

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a support vector classifier network using the specified tutor. % % load data/iris x y; % % C = 100; % kernel = r
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www.eeworm.com/read/181388/9256587

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a support vector classifier network using the specified tutor. % % load data/iris x y; % % C = 100; % kernel = r
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www.eeworm.com/read/177674/9442511

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/176823/9483197

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/365739/9849748

m one_error.m

function OneError=One_error(Outputs,test_target) %Computing the one error %Outputs: the predicted outputs of the classifier, the output of the ith instance for the jth class is stored in Outputs(j,i
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www.eeworm.com/read/362246/10010005

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
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www.eeworm.com/read/362246/10010150

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
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www.eeworm.com/read/362246/10010256

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
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www.eeworm.com/read/362246/10010330

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
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