代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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www.eeworm.com/read/299459/7849043

m contents.m

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.03 14-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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www.eeworm.com/read/299459/7850925

m~ contents.m~

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.01 27-Aug-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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www.eeworm.com/read/398324/7994121

m getnsv.m

function nsv = getnsv(net) % GETNSV % % Accessor method returning the number of support vectors of a support vector % classification network. % % n = getnsv(net); % % File : @svc/
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www.eeworm.com/read/398324/7994131

m strip.m

function net = strip(net, tolerance) % STRIP % % Delete support vectors from a support vector classification network for which % the magnitude of the corresponding weight is less than a given to
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www.eeworm.com/read/398324/7994232

m getnsv.m

function nsv = getnsv(net) % GETNSV % % Accessor method returning the number of support vectors of a support vector % classification network. % % n = getnsv(net); % % File : @svc/
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www.eeworm.com/read/398324/7994241

m strip.m

function net = strip(net, tolerance) % STRIP % % Delete support vectors from a support vector classification network for which % the magnitude of the corresponding weight is less than a given to
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www.eeworm.com/read/245176/12813165

m getnsv.m

function nsv = getnsv(net) % GETNSV % % Accessor method returning the number of support vectors of a support vector % classification network. % % n = getnsv(net); % % File : @svc/
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www.eeworm.com/read/245176/12813174

m strip.m

function net = strip(net, tolerance) % STRIP % % Delete support vectors from a support vector classification network for which % the magnitude of the corresponding weight is less than a given to
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www.eeworm.com/read/245176/12813333

m getnsv.m

function nsv = getnsv(net) % GETNSV % % Accessor method returning the number of support vectors of a support vector % classification network. % % n = getnsv(net); % % File : @dags
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www.eeworm.com/read/140851/13059335

m demtrain.m

function demtrain(action); %DEMTRAIN Demonstrate training of MLP network. % % Description % DEMTRAIN brings up a simple GUI to show the training of an MLP % network on classification and regressi
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