代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/428849/8834913
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/372113/9521262
m click_points.m
function [patterns, targets, params, region] = click_points(region)
%Manually enter points into the workspace
ax = region(1:4);
h = findobj(findobj('Tag','classifier_GUI'),'Tag','txtNumberPo
www.eeworm.com/read/362246/10010442
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/360995/10070003
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th
www.eeworm.com/read/357874/10199144
m click_points.m
function [patterns, targets, params, region] = click_points(region)
%Manually enter points into the workspace
ax = region(1:4);
h = findobj(findobj('Tag','classifier_GUI'),'Tag','txtNumberPo
www.eeworm.com/read/280595/10312392
m~ contents.m~
% Linear classifier based on the Fisher linear discriminat.
%
% fldqp - Computes Fisher's Linear Discriminat using QP.
% lfld - Learns Fisher's Linear Discriminat.
%
% About: Statistical Patt
www.eeworm.com/read/159921/10587761
c knnclass.c
/*---------------------------------------------------------------------------
[tst_labels] = knnclass(tst_data,trn_data,trn_labels, k)
KNNCLASS k-Nearest Neighbours classifier.
Input:
tst_data [dim
www.eeworm.com/read/421949/10676416
c knnclass.c
/*---------------------------------------------------------------------------
[tst_labels] = knnclass(tst_data,trn_data,trn_labels, k)
KNNCLASS k-Nearest Neighbours classifier.
Input:
tst_data [dim
www.eeworm.com/read/466142/7039581
m do_naive_bayes_evaluation.m
function do_naive_bayes_evaluation(config_file)
%% Test and plot graphs for a naive bayes classifier learnt with do_naive_bayes.m
%% The action of this routine depends on the directory in which
www.eeworm.com/read/451547/7461954
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th