代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
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www.eeworm.com/read/405754/2283419

err trn_6.err

Classifier MLP Training run Patterns file: h46_u.pat; using all 24420 patterns Final pattern-wts: set all equal, no files read Error function: sum of squares Reg. factor: 1.000e-03 Activation
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www.eeworm.com/read/396844/2406723

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/170936/9779362

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/415313/11076670

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/413912/11137360

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/373627/9446130

html multiedit.html

R: Multiedit for k-NN Classifier
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www.eeworm.com/read/360995/10070075

m dd_eer.m

%EER Equal error rate % % E = DD_EER(R) % E = A*W*DD_EER % % Compute the Equal error rate for ROC-curve R, or from the roc-curve % derived from dataset A applied to (one-class) classifier W. Out
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www.eeworm.com/read/360995/10070137

m plotw.m

function h = plotw(w,nrc) %PLOTW Plot the classifier w. % % h = plotw(w,nrc) % % Please use plotc instead. % Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org % Faculty EWI, Delft University of Technol
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www.eeworm.com/read/159921/10588185

m svmmot.m

function [Alpha,bias,nsv,exitflag,flps,margin,trn_err]=... svmmot(X,I,ker,arg,C) % SVMMOT learns SVM (L1) classifier using Matlab Optimization Toolbox. % [Alpha,bias,nsv,eflag,flps,margin,trn_err]
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www.eeworm.com/read/421949/10676864

m svmmot.m

function [Alpha,bias,nsv,exitflag,flps,margin,trn_err]=... svmmot(X,I,ker,arg,C) % SVMMOT learns SVM (L1) classifier using Matlab Optimization Toolbox. % [Alpha,bias,nsv,eflag,flps,margin,trn_err]
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