代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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arff sonar.arff

% NAME: Sonar, Mines vs. Rocks % % SUMMARY: This is the data set used by Gorman and Sejnowski in their study % of the classification of sonar signals using a neural network [1]. The % task is to tra
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www.eeworm.com/read/398324/7994135

m getbias.m

function bias = getbias(net) % GETBIAS % % Accessor method returning the bias of a support vector classification % network. % % bias = getbias(net); % % File : @svc/getbias.m %
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www.eeworm.com/read/398324/7994244

m getbias.m

function bias = getbias(net) % GETBIAS % % Accessor method returning the bias of a support vector classification % network. % % bias = getbias(net); % % File : @svc/getbias.m %
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www.eeworm.com/read/398324/7994370

m svctutor.m

function tutor = svctutor(arg) % SVCTUTOR % % Constructor for a class of tutor objects used to train support vector % classification networks. Note this is an abstract base class, you cannot %
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m svctutor.m

function tutor = svctutor(arg) % SVCTUTOR % % Constructor for a class of tutor objects used to train support vector % classification networks. Note this is an abstract base class, you cannot %
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m spatm.m

%SPATM Augment image dataset with spatial label information % % E = spatm(D,s) % % If D = A*W*classc, the output of a classification of a dataset A % containing feature images, then E is and augmented
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www.eeworm.com/read/397102/8068008

m polyc.m

%POLYC Polynomial Classification % % W = polyc(A,classf,n,s) % % Adds polynomial features to the dataset A and runs the untrained % classifier classf. n is the degree of the polynome (default 1).
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www.eeworm.com/read/245176/12813177

m getbias.m

function bias = getbias(net) % GETBIAS % % Accessor method returning the bias of a support vector classification % network. % % bias = getbias(net); % % File : @svc/getbias.m %
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www.eeworm.com/read/245176/12813266

m svctutor.m

function tutor = svctutor(arg) % SVCTUTOR % % Constructor for a class of tutor objects used to train support vector % classification networks. Note this is an abstract base class, you cannot %
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www.eeworm.com/read/143706/12849969

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 regression pr
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