代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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m fixedcc.m

%FIXEDCC Construction of fixed combiners % % V = FIXEDCC(A,W,TYPE,NAME) % % INPUT % A Dataset % W A set of classifier mappings % TYPE The type of combination rule % NAME The na
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www.eeworm.com/read/399996/7816710

m contents.m

% Classification GUI and toolbox % Version 1.0 % % GUI start commands % % classifier - Start the classification GUI % enter_distributions - Starts the parameter input screen (used by classif
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www.eeworm.com/read/398324/7994110

m display.m

function display(net) % DISPLAY % % Display a textual representation of a support vector classifier object. % % display(net); % % File : @svc/display.m % % Date : Wednesd
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www.eeworm.com/read/398324/7994220

m display.m

function display(net) % DISPLAY % % Display a textual representation of a support vector classifier object. % % display(net); % % File : @svc/display.m % % Date : Wednesd
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www.eeworm.com/read/397106/8067525

m weightedknnrule_vc.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/397106/8067665

m nearest_neighbor_vc.m

% Learns classifier and classifies test set % using k-NN rule % Usage % [trainError, testError, estTrainLabels, estTestLabels] = ... % Nearest_Neighbor_VC(trainFeatures, trainLabels,
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www.eeworm.com/read/397106/8067673

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/397102/8067986

m klclc.m

%KLCLC Linear classifier using KL expansion of common covariance % matrix % % W = klclc(A,n) % % Finds the linear discriminant function W for the dataset A % computing the ldc on a projection of
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