代码搜索：classification
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www.eeworm.com/read/208562/15244368
m recognition.m
% Copyright (C) 2006, Eric Chi.
% chijing80@hotmail.com
% Test samples set.
testSamplesNum = samplesPerPerson - trainSamplesNum;
testSamplesTotal = testSamplesNum * personsNum;
% Recogniton b
www.eeworm.com/read/169602/5419494
c ndbd_exit_codes.c
/* Copyright (C) 2003 MySQL AB
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Fou
www.eeworm.com/read/165441/5482289
java jaxrpublisher.java
/*
* Copyright (c) 2006 Sun Microsystems, Inc. All rights reserved. U.S.
* Government Rights - Commercial software. Government users are subject
* to the Sun Microsystems, Inc. standard license
www.eeworm.com/read/165441/5482307
properties coffeebreak.properties
endpoint.url=http://localhost:8080/jaxrpc-coffee-supplier/jaxrpc
saaj.url=http://localhost:8080/saaj-coffee-supplier
## Registry properties
## IBM:
query.url=http://uddi.ibm.com/testregistry/inquirya
www.eeworm.com/read/163883/5506394
cpp voter.cpp
//-------------------------------------------------------------------
// Author........: Aleksander 豩rn
// Date..........: 9608/9609
// Description...:
// Revisions.....:
//======================
www.eeworm.com/read/163883/5506574
cpp rulebasedclassification.cpp
//-------------------------------------------------------------------
// Author........: Aleksander 豩rn
// Date..........:
// Description...:
// Revisions.....:
//================================
www.eeworm.com/read/471358/6890717
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/471381/6892026
m weaklearner.m
function [H,epsilon,R]=WeakLearner(X,Y,C,W,WLearner,Y_predict)
% Train weak classifiers for every feature and select the one that
% performs best i.e. correspondent ot the best feature to use for
www.eeworm.com/read/195133/8172716
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/294886/8195860
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net