代码搜索：Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/389274/8537610
m example24.m
%perc4
%%===============
%%===============
figure('name','训练过程图示','numbertitle','off');
P=[-0.5 -0.5 0.3 0 -0.8;-0.5 0.5 -0.5 1 0];
T=[1 1 0 0 0];
%initialization
[R,Q]=size(P); [S,Q]=size(T
www.eeworm.com/read/389274/8537669
m example21a.m
%Perc1a
%%===============
%%===============
%%%and of pecerptron
figure('name','训练过程图示','numbertitle','off');
P=[0 0 1 1;0 1 0 1]; T=[0 0 0 1];
%initialization
[R,Q]=size(P); [S,Q]=size(T
www.eeworm.com/read/387822/8652079
plg 12232.plg
礦ision3 Build Log
Project:
E:\learning data\program code\12232 PROGRAM DEMO\12232.uv2
Project File Date: 07/01/2006
Output:
www.eeworm.com/read/386050/8769003
m prex_cleval.m
%PREX_CLEVAL PRTools example on learning curves
%
% Presents the learning curves for Highleyman's classes
%
help prex_cleval
delfigs
echo on
% Set desired learning sizes
learnsize
www.eeworm.com/read/182374/9205839
m learnbn.m
function[bnet] = LearnBN(NumbVar,Card,SelPop,TypeLearning,MaxParent,epsilon,mwst,star,SCORE,cachesize)
% Learns the Bayesian network from the selected population
% INPUTS
% NumbVar: Number of varia
www.eeworm.com/read/359303/10156493
tex chap01.tex
\chapter{文档模板}
\label{chap1}
%\fontsize{12pt}{12pt}\selectfont
\begin{Aphorism}{WangTianshu. 2002.}
Stop using Microsoft Word immediately!
\end{Aphorism}
这里是一个测试\upcite{Bayes63:classical}
www.eeworm.com/read/353275/10457547
plg test10.plg
礦ision2 Build Log
Project:
F:\learning\单片机学习\三个和尚2\c51Test\test10\test10.uv2
Project File Date: 09/02/2008
Output:
www.eeworm.com/read/159921/10588020
m multisvmdemo1.m
% Demonstration of multi-class SVM learning.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%
www.eeworm.com/read/159921/10588141
m~ multisvmdemo1.m~
% Demonstration of multi-class SVM learning.
% loads data
data = load('multisvm1');
% setting SVM parameters
ker='rbf';
arg=1;
C=inf;
% learning SVM classifier
[model]=m2osmo( data.X, data.I, ker,
www.eeworm.com/read/421949/10676704
m multisvmdemo1.m
% Demonstration of multi-class SVM learning.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%