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/373249/9467968
extra entries.extra
/KLgauss.m////*///
/README.txt////*///
/beta_sample.m////*///
/chisquared_histo.m////*///
/chisquared_prob.m////*///
/chisquared_readme.txt////*///
/chisquared_table.m////*///
/clg_Mstep.m////*
www.eeworm.com/read/164422/10108794
extra entries.extra
/README.txt///
/beta_sample.m///
/chisquared_prob.m///
/chisquared_readme.txt///
/chisquared_table.m///
/clg_Mstep.m///
/clg_prob.m///
/cond_indep_fisher_z.m///
/condgaussTrainObserved.m///
/
www.eeworm.com/read/349646/10808528
extra entries.extra
/KLgauss.m////*///
/README.txt////*///
/beta_sample.m////*///
/chisquared_histo.m////*///
/chisquared_prob.m////*///
/chisquared_readme.txt////*///
/chisquared_table.m////*///
/clg_Mstep.m////*
www.eeworm.com/read/349646/10809249
extra entries.extra
/KLgauss.m////*///
/README.txt////*///
/beta_sample.m////*///
/chisquared_histo.m////*///
/chisquared_prob.m////*///
/chisquared_readme.txt////*///
/chisquared_table.m////*///
/clg_Mstep.m////*
www.eeworm.com/read/259241/11812615
extra entries.extra
/README.txt///
/beta_sample.m///
/chisquared_prob.m///
/chisquared_readme.txt///
/chisquared_table.m///
/clg_Mstep.m///
/clg_prob.m///
/cond_indep_fisher_z.m///
/condgaussTrainObserved.m///
/
www.eeworm.com/read/392854/8322709
extra entries.extra
/README.txt///
/beta_sample.m///
/chisquared_prob.m///
/chisquared_readme.txt///
/chisquared_table.m///
/clg_Mstep.m///
/clg_prob.m///
/cond_indep_fisher_z.m///
/condgaussTrainObserved.m///
/
www.eeworm.com/read/147186/12578744
extra entries.extra
/KLgauss.m////*///
/README.txt////*///
/beta_sample.m////*///
/chisquared_histo.m////*///
/chisquared_prob.m////*///
/chisquared_readme.txt////*///
/chisquared_table.m////*///
/clg_Mstep.m////*
www.eeworm.com/read/188848/8510932
m contents.m
% OSU Support Vector Machines (SVMs) Toolbox
% version 3.00, Feb. 2002
%
% The core of this toolbox is based on Dr. Lin's Lib SVM version 2.33
% For more details, please see:
% http://www.csie.n
www.eeworm.com/read/389274/8536667
m display.m
function display(net)
fprintf(1,'\nsupport vector classifier:\n\n');
fprintf(1,' kernel = %s\n', char(net.kernel));
fprintf(1,' bias = %f\n', net.bias);
fprintf(1,' sv = %s\n', m
www.eeworm.com/read/289336/8558574
m fldqp.m
function model = fldqp(data)
% FLDQP Fisher Linear Discriminat using Quadratic Programming.
%
% Synopsis:
% model = fldqp( data )
%
% Description:
% This function computes the binary linear classifi