代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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m disp.m

function disp(f) %SOFTMAX/DISP Display SOFTMAX object. % Copyright (c) 1999 Michael Kiefte. % $Id: disp.m,v 1.1 1999/06/04 18:50:50 michael Exp $ % $Log: disp.m,v $ % Revision 1.1 1999/06/0
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m subsref.m

function g = subsref(f, s) %LOGDA/SUBSREF Subscripted reference of LOGDA object. % Copyright (c) 1999 Michael Kiefte. % $Log$ switch s(1).type case '.' switch s(1).subs case 'coefs'
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m disp.m

function disp(f) %LOGDA/DISP Display LOGDA object. % Copyright (c) 1999 Michael Kiefte. % $Log$ fprintf(' coefs: [%dx%d double]\n', size(f.coefs)); disp(f.classifier)
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m display.m

function display(f) %CLASSIFIER/DISPLAY Display CLASSIFIER object. % Copyright (c) 1999 Michael Kiefte. % $Log$ p = size(f.range, 2); g = length(f.counts); fprintf('\n%s =\n\n', inputname(1));
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m subsref.m

function g = subsref(f, s) %CLASSIFIER/SUBSREF Subscripted reference of CLASSIFIER object. % Copyright (c) 1999 Michael Kiefte. % $Log$ switch s(1).type case '.' switch s(1).subs case
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m disp.m

function c = disp(f) %CLASSIFIER/DISP Display CLASSIFIER object. % Copyright (c) 1999 Michael Kiefte. % $Log$ n = f.counts; g = length(n); prior = f.prior; if isempty(prior) prior = n./sum(n)
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m cvar.m

function [lambda, ratio] = cvar(f) %LDA/CVAR Fisher's linear discriminant analysis. % [LAMBDA, RATIO] = CVAR(F) return the canonical variates of the % Fisher's linear discriminant analysis in the
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m subsref.m

function g = subsref(f, s) %LDA/SUBSREF Subscripted reference of LDA object. % Copyright (c) 1999 Michael Kiefte % $Log$ switch s(1).type case '.' switch s(1).subs case 'means' h
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www.eeworm.com/read/299459/7849043

m contents.m

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.03 14-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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html contents.html

Contents.m
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