代码搜索：classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
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www.eeworm.com/read/262186/11602444

m nfcv.m

function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode) % USAGE % [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k) % this is for classification with output code as -1 1 % so that the prior prob of
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www.eeworm.com/read/157074/11741368

m nfcv.m

function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode) % USAGE % [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k) % this is for classification with output code as -1 1 % so that the prior prob of
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www.eeworm.com/read/155041/11902213

m svcm_train.m

function [a, b, g, inds, inde, indw] = svcm_train(x, y, C); % function [a, b, g, inds, inde, indw] = svcm_train(x, y, C); % support vector classification machine % incremental learning,
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www.eeworm.com/read/256398/12001857

m nfcv.m

function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode) % USAGE % [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k) % this is for classification with output code as -1 1 % so that the prior prob of
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www.eeworm.com/read/255755/12057891

m roc.m

%ROC Receiver-Operator Curve % % E = ROC(A,W,C,N) % E = ROC(B,C,N) % % INPUT % A Dataset % W Trained classifier, or % B Classification result, B = A*W*CLASSC % C Index of desired clas
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www.eeworm.com/read/150905/12249152

m roc.m

%ROC Receiver-Operator Curve % % E = ROC(A,W,C,N) % E = ROC(B,C,N) % % INPUT % A Dataset % W Trained classifier, or % B Classification result, B = A*W*CLASSC % C Index of desired clas
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www.eeworm.com/read/149739/12353497

m roc.m

%ROC Receiver-Operator Curve % % E = ROC(A,W,C,N) % E = ROC(B,C,N) % % INPUT % A Dataset % W Trained classifier, or % B Classification result, B = A*W*CLASSC % C Index of desired clas
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www.eeworm.com/read/130491/14189848

1 mailcross.1

\" t .TH MAILCROSS 1 "Bayesian Text Classification Tools" "Version 1.3" "" .SH NAME mailcross \- a cross-validation tester for use with dbacl. .SH SYNOPSIS .HP .B mailcross .I command [ .I command_a
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www.eeworm.com/read/13911/287244

m nfcv.m

function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode) % USAGE % [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k) % this is for classification with output code as -1 1 % so that the prior prob of
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www.eeworm.com/read/482538/1287630

hh suppressor.hh

#ifndef CLICK_SUPPRESSOR_HH #define CLICK_SUPPRESSOR_HH #include #include CLICK_DECLS /* * =c * Suppressor * =s classification * passes packets unchanged,
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