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/450608/7480090

m qdc.m

%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2) % % W = QDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/399996/7816902

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/299459/7850876

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/397111/8067132

m dlpdd.m

function W = dlpdd(x,nu,usematlab) %DLPDD Distance Linear Programming Data Description % % W = DLPDD(X,NU) % % This linear one-class classifier works directly on the distances, so % the data is
www.eeworm.com/read/397099/8068930

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/245941/12771011

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/330850/12865011

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/137160/13341826

m qdc.m

%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2) % % W = QDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/317622/13500905

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/314653/13562218

m qdc.m

%QDC Quadratic Bayes Normal Classifier (Bayes-Normal-2) % % W = QDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0