代码搜索：validation
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www.eeworm.com/read/229148/14351284
properties jtidyservlet.properties
# Time in milliseconds the servlet thread will sleep if Record is not yet avalable in Repository
imageGetTimeout=2000
# The image name prefix for validation icons, First servlet will try to load it
www.eeworm.com/read/229148/14351285
properties jtidyservletproduction.properties
# Redefine validation results handling.
repositoryFactory.class=org.w3c.tidy.servlet.data.SessionRepositoryFactory
www.eeworm.com/read/226200/14490004
cpp validat2.cpp
// validat2.cpp - written and placed in the public domain by Wei Dai
#include "pch.h"
#define CRYPTOPP_ENABLE_NAMESPACE_WEAK 1
#include "blumshub.h"
#include "rsa.h"
#include "md2.h"
#includ
www.eeworm.com/read/119503/14827702
m p450bskel.m
% WBL 25 Sep 2002 Use P450 training data to train Matlab MLP Neural Network
versn = '$Revision: 1.7 $'; %$Date: 2002/10/31 11:17:37 $
%read training data, one training case per line,
%each case ha
www.eeworm.com/read/213240/15140063
m mytrainlm.m
function [net,tr,v3,v4,v5,v6,v7,v8] = ...
trainlm(net,Pd,Tl,Ai,Q,TS,VV,TV,v9,v10,v11,v12)
%TRAINLM Levenberg-Marquardt backpropagation.
%
% Syntax
%
% [net,tr] = trainlm(net,Pd,Tl,Ai,Q,TS,VV)
%
www.eeworm.com/read/212314/15159963
m crossvalmodel.m
function [PercCorrTrain,PercCorrTest,BestMLK,MLKP] = CrossValModel(Nval,PercXval,PercTrain);
%
% set cputimer
Tbegin=cputime;
MLKP=SetParamsModel;
load(MLKP.DataFile);
if (upper(MLKP.DataSet
www.eeworm.com/read/210276/15202366
m svm_algorith_matlab.m
for ii=1:100
cal_housing_data;
start=cputime;
%!svmtrain -s 0 -t 2 -g num2str(sigma) training.dat model.dat
dos(['svmtrain -s 3 -c 500 cal_housing_train.dat model.dat'])
train_time(ii)=cputime-s
www.eeworm.com/read/207767/15262514
txt output.txt
*** mySVM version 2.1.4 ***
Reading E:\research\人脸识别研究\人脸检测与识别相关文献\支持向量机\mySVM\validation.txt
read 10 examples, format xya, dimension = 2.
read 5 examples, format xy, dimension = 2.
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