代码搜索：learner
找到约 833 项符合「learner」的源代码
代码结果 833
www.eeworm.com/read/204766/15333839
m ecocfwd.m
function [Y, Y1, Y2] = ecocfwd(net, X)
% ECOCFWD - Forward propagation for a set of learners with ECOC
%
% Y = ECOCFWD(NET, X)
% Given an error correcting output code wrapper NET, the class
% p
www.eeworm.com/read/326691/13123153
txt 3-437msg2.txt
Subject: re : 3 . 421 linguist , human subject
i have the same reaction as martin volk to michael kac 's idea that linguist become linguist because they ' re superior language learner . my gut reacti
www.eeworm.com/read/135758/5878926
java averagelearner.java
/*
* YALE - Yet Another Learning Environment
* Copyright (C) 2001-2004
* Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,
* Katharina Morik, Oliver Ritthoff
* Artificial
www.eeworm.com/read/106504/6192348
txt 25.txt
#"/exhibits/parkphysics/pendulum.html"
Amusement Park Physics -- Pendulum
Pendulum rides are a little like
the swing sets you might remember from your childhood. Swings g
www.eeworm.com/read/409871/11309453
txt 3-437msg2.txt
Subject: re : 3 . 421 linguist , human subject
i have the same reaction as martin volk to michael kac 's idea that linguist become linguist because they ' re superior language learner . my gut reacti
www.eeworm.com/read/407916/11408584
h haarsinglestumplearner.h
/*
* 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
www.eeworm.com/read/221024/14777415
html http:^^www.cs.utexas.edu^users^ml^ml-progs.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Tuesday, 07-Jan-97 15:55:35 GMT
Content-Type: text/html
Content-Length: 1802
Last-Modified: Monday, 11-Dec-95 16:42:34 GMT
Machine Learning Rese
www.eeworm.com/read/410973/11262343
txt 3-437msg2.txt
Subject: re : 3 . 421 linguist , human subject
i have the same reaction as martin volk to michael kac 's idea that linguist become linguist because they ' re superior language learner . my gut reacti
www.eeworm.com/read/289487/8548738
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