代码搜索：classifies

找到约 147 项符合「classifies」的源代码

代码结果 147
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m ls_vccore.m

% Learns classifier and classifies test set % using the least-squares algorithm % Inputs: % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % LVQ1_VC(trainFeatures
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www.eeworm.com/read/397106/8067677

m weightedknnrule.m

% Learns classifier and classifies test set % using weighted k-NN rule % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % weightedKNNRule_VC(trainFeatures, trainLa
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www.eeworm.com/read/397106/8067807

m rce_vc.m

% Learns classifier and classifies test set % using Learning Vector Quantization algorithm nr 1 % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % RCE_VC(trainFeatu
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www.eeworm.com/read/130490/14189989

c trivial.c

/* Copyright (C) 2002 Mikael Ylikoski * See the accompanying file "README" for the full copyright notice */ /** * @file * Trivial classifier. * Classifies according to class frequency or by rando
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www.eeworm.com/read/431675/8662316

m edicon.m

%EDICON Edit and condense training set into support set % % J = edicon(D) % % Condensing: If D is the distance dataset then the indices J refer % to a minimized set that classifies the original se
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www.eeworm.com/read/418695/10935632

m edicon.m

%EDICON Edit and condense training set into support set % % J = edicon(D) % % Condensing: If D is the distance dataset then the indices J refer % to a minimized set that classifies the original se
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www.eeworm.com/read/460712/7105738

m qclassfy.m

function cbdb = qclassfy(A,B) % QCLASSFY Classifies QFT bounds into four basic sets. (Utility Function) % QCLASSFY takes a set of above and below bounds and consolidates % them in
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www.eeworm.com/read/439271/7713268

m qclassfy.m

function cbdb = qclassfy(A,B) % QCLASSFY Classifies QFT bounds into four basic sets. (Utility Function) % QCLASSFY takes a set of above and below bounds and consolidates % them in
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www.eeworm.com/read/397106/8067550

m lvq3_vc.m

% Learns classifier and classifies test set % using Learning Vector Quantization algorithm nr 3 % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % LVQ3_VC(trainFea
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www.eeworm.com/read/397106/8067771

m lvq1_vc.m

% Learns classifier and classifies test set % using Learning Vector Quantization algorithm nr 1 % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % LVQ1_VC(trainFea
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