代码搜索：learner

找到约 833 项符合「learner」的源代码

代码结果 833
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/106504/6192317

txt 24.txt

#"/exhibits/parkphysics/bumpcars.html" Amusement Park Physics -- Bumper Cars For Teachers -- Broadcast ScheduleFind out when your favorite Annenberg/CPB progam
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www.eeworm.com/read/299625/6285286

m rankboostaucval.m

function ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % USAGE % % ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % % evaluate a rankboost decision function of data x % % the in
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www.eeworm.com/read/402363/6343575

m demecoc1.m

function demecoc1() % DEMECOC1 - Demo program for error correcting output codes % % DEMECOC1 % Show a simple multi class problem (VOWEL-CONTEXT from UCI archive) % with ECOC and Support Vector
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www.eeworm.com/read/484356/6586100

m rankboostaucval.m

function ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % USAGE % % ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % % evaluate a rankboost decision function of data x % % the in
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www.eeworm.com/read/407916/11408608

cpp main.cpp

/* * This file is part of MultiBoost, a multi-class * AdaBoost learner/classifier * * Copyright (C) 2005-2006 Norman Casagrande * For informations write to nova77@gmail.com * * This library is free s
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www.eeworm.com/read/262186/11602556

m rankboostaucval.m

function ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % USAGE % % ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % % evaluate a rankboost decision function of data x % % the in
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www.eeworm.com/read/260625/11716705

m demecoc1.m

function demecoc1() % DEMECOC1 - Demo program for error correcting output codes % % DEMECOC1 % Show a simple multi class problem (VOWEL-CONTEXT from UCI archive) % with ECOC and Support Vector
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www.eeworm.com/read/157074/11741459

m rankboostaucval.m

function ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % USAGE % % ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % % evaluate a rankboost decision function of data x % % the in
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www.eeworm.com/read/256398/12001949

m rankboostaucval.m

function ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % USAGE % % ypred=rankboostAUCval(x,alpha,threshold,rankfeat,T); % % evaluate a rankboost decision function of data x % % the in
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www.eeworm.com/read/252978/12252036

txt readme.txt

This package contains the following files: learner.jar - is a platform independent java package. In order to run it on windows/linux open the command prompt/shell and type the comma
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