代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/289487/8548671
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
www.eeworm.com/read/386050/8768184
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
www.eeworm.com/read/428269/8880462
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
www.eeworm.com/read/181816/9236190
m svc.m
function [nsv, alpha, b0] = svc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Trai
www.eeworm.com/read/161855/10361015
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
www.eeworm.com/read/160933/10469269
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,
www.eeworm.com/read/424222/10479324
readme
Type Classification Code:
main.m (program control)
discretize.m (converts image to discrete values)
plotimg.m (plots images)
dirImg.m (computes the directional image)
extract.m (extract
www.eeworm.com/read/299984/7140334
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
www.eeworm.com/read/460435/7250809
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
www.eeworm.com/read/458392/7297221
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