代码搜索：Supervised
找到约 536 项符合「Supervised」的源代码
代码结果 536
www.eeworm.com/read/235928/14041294
m som_supervised.m
function sM = som_supervised(sData,varargin)
%SOM_SUPERVISED SOM training which utilizes class information.
%
% sM = som_supervised(sData, [ArgID, value,...]))
%
% Input and output arguments ([]'s
www.eeworm.com/read/247146/12678157
pdf lecture2_supervised.pdf
www.eeworm.com/read/480351/6672765
pdf feature_extraction_supervised.pdf
www.eeworm.com/read/232404/4702724
cpp grid_classify_supervised.cpp
///////////////////////////////////////////////////////////
// //
// SAGA //
//
www.eeworm.com/read/232404/4702729
h grid_classify_supervised.h
///////////////////////////////////////////////////////////
// //
// SAGA //
//
www.eeworm.com/read/427696/8925388
txt readme.txt
Help file of Semi-supervised Affinity Propagation clustering (Version 1.0)
Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert Dueck. Clusterin
www.eeworm.com/read/386038/8770301
pdf semi_supervised_learning_with_svms.pdf
www.eeworm.com/read/247145/12678165
pdf lecture2_semi-supervised.pdf
www.eeworm.com/read/493294/6399961
m dd_ex6.m
% Show the difference between the supervised Mixture of Gaussians (as
% implemented in Prtools), the unsupervised mog_dd and the
% 'semi-supervised' outmog_dd where one cluster is fixed to model the
%
www.eeworm.com/read/213240/15139979
m dd_ex6.m
% Show the difference between the supervised Mixture of Gaussians (as
% implemented in Prtools), the unsupervised mog_dd and the
% 'semi-supervised' outmog_dd where one cluster is fixed to model the
%