代码搜索:classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/483114/6609672
m getbias.m
function bias = getbias(net)
% GETBIAS
%
% Accessor method returning the bias of a support vector classification
% network.
%
% bias = getbias(net);
%
% File : @svc/getbias.m
%
www.eeworm.com/read/483114/6609744
m svctutor.m
function tutor = svctutor(arg)
% SVCTUTOR
%
% Constructor for a class of tutor objects used to train support vector
% classification networks. Note this is an abstract base class, you cannot
%
www.eeworm.com/read/410924/11264769
m genetic_programming.m
function [D, best_fun] = genetic_programming(features, targets, params, region)
% A genetic programming algorithm for classification
%
% features - Train features
% targets - Train targets
www.eeworm.com/read/342008/12046747
m spatm.m
%SPATM Augment image dataset with spatial label information
%
% E = spatm(D,s)
%
% If D = A*W*classc, the output of a classification of a dataset A
% containing feature images, then E is and augmented
www.eeworm.com/read/342008/12046885
m polyc.m
%POLYC Polynomial Classification
%
% W = polyc(A,classf,n,s)
%
% Adds polynomial features to the dataset A and runs the untrained
% classifier classf. n is the degree of the polynome (default 1).
www.eeworm.com/read/253950/12174204
m demtrain.m
function demtrain(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regression pr
www.eeworm.com/read/339665/12211844
m demtrain.m
function demtrain(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regression pr
www.eeworm.com/read/150905/12250622
m demtrain.m
function demtrain(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regression pr
www.eeworm.com/read/131588/14136157
m genetic_programming.m
function [D, best_fun] = genetic_programming(features, targets, params, region)
% A genetic programming algorithm for classification
%
% features - Train features
% targets - Train targets
www.eeworm.com/read/130490/14190112
xml ref_select_ifile.xml
select_ifile
1
select_ifile
email classification tool