代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/299984/7140377
m plotd.m
%PLOTD Plot classifiers, outdated, use PLOTC instead
% $Id: plotd.m,v 1.2 2006/03/08 22:06:58 duin Exp $
function handle = plotd(varargin)
prtrace(mfilename);
global PLOTD_REPLACED_BY_PLOTC
if
www.eeworm.com/read/460435/7250852
m plotd.m
%PLOTD Plot classifiers, outdated, use PLOTC instead
% $Id: plotd.m,v 1.2 2006/03/08 22:06:58 duin Exp $
function handle = plotd(varargin)
prtrace(mfilename);
global PLOTD_REPLACED_BY_PLOTC
if
www.eeworm.com/read/451547/7461950
m dd_ex4.m
% DD_EX4
%
% This should show the use of consistent_occ, for the optimization
% of complexity parameters of one-class classifiers. This function
% can be applied to all one-class classifiers in the to
www.eeworm.com/read/451547/7461962
m dd_ex11.m
% DD_EX11
%
% Example of the training of a multi-class classifiers, constructed from
% class-wise one-class classifiers. As a comparison, also the individual
% one-class classifiers are explicitly con
www.eeworm.com/read/451547/7461986
m dd_ex7.m
% Show how several one-class classifiers can be combined.
% To make the classifier outputs comparable, the outputs should be
% normalized using dd_normc
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
www.eeworm.com/read/450608/7480423
m plotd.m
%PLOTD Plot classifiers, outdated, use PLOTC instead
% $Id: plotd.m,v 1.4 2003/12/14 22:13:21 bob Exp $
function handle = plotd(varargin)
prtrace(mfilename);
global PLOTD_REPLACED_BY_PLOTC
if
www.eeworm.com/read/441245/7673067
m plotd.m
%PLOTD Plot classifiers, outdated, use PLOTC instead
% $Id: plotd.m,v 1.2 2006/03/08 22:06:58 duin Exp $
function handle = plotd(varargin)
prtrace(mfilename);
global PLOTD_REPLACED_BY_PLOTC
if
www.eeworm.com/read/299459/7850792
m~ contents.m~
% Algorithms learning linear classifiers from finite vector sets.
%
% ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane.
% ekozinec2 - Kozinec's algorithm for eps-optimal separ
www.eeworm.com/read/397111/8067245
m dd_ex4.m
% DD_EX4
%
% This should show the use of consistent_occ, for the optimization
% of complexity parameters of one-class classifiers. This function
% can be applied to all one-class classifiers in the to
www.eeworm.com/read/143706/12850308
changelog-3-3-2
2002-05-21 14:35 eibe
* weka/classifiers/rules/JRip.java (1.4): Minor bug fix in JRip
regarding data description length for default rule.
2002-05-15 09:35 mhall
* weka/attributeSelection/SVMAt