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找到约 5,352 项符合「Learning」的源代码

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www.eeworm.com/read/418731/10934534

txt do you want to learn maya 6, look, some tutorials.txt

http://www.learning-maya.com/tutorials.php interesting tuts for Maya 6
www.eeworm.com/read/418695/10935598

m prex2.m

%PREX2 PRTOOLS example, plot learning curves of classifiers help prex2 pause(1) echo on % set desired learning sizes learnsize = [3 5 10 15 20 30]; % Generate Highleyman's classes A = gend
www.eeworm.com/read/465209/7059542

c sttrans.c

/************************************************************************ * RSTP library - Rapid Spanning Tree (802.1t, 802.1w) * Copyright (C) 2001-2003 Optical Access * Author: Alex Rozin
www.eeworm.com/read/449744/7497457

m perceptron.m

% ========================================================== % % Neural Networks A Classroom Approach % Satish Kumar % Copyright Tata McGraw Hill, 2004
www.eeworm.com/read/449744/7497462

m alphalms.m

% ========================================================== % % Neural Networks A Classroom Approach % Satish Kumar % Copyright Tata McGraw Hill, 2004
www.eeworm.com/read/399186/7881841

m wnbp.m

nntwarn off p=[0.4344 0.9950 0.6000 0.3865 0.3800 0.4345 0.2168 0.7180; 0.4345 0.7000 0.5200 0.4350 0.3380 0.4705 0.0000 1.0000] %0.4346 1.0000 0.6093 0.3862 0.3777 0.4347 0.2167 0.7179 %0.4346
www.eeworm.com/read/298374/7964827

m dataforc45.m

%DataForC45.m %Shiliang Sun, Apr. 8, 2007. %The data are constructed from Table 3.2 of Mitchell's book: %Machine Learning. Traindata=[ 7 1 1 1 2 7 1 1 2 2 8 1 1 1 1
www.eeworm.com/read/398324/7994358

bbl manual.bbl

\begin{thebibliography}{} \bibitem[Boser et~al., 1992]{Boser1992} Boser, B., Guyon, I., and Vapnik, V.~N. (1992). \newblock A training algorithm for optimal margin classifiers. \newblock In {\em
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bbl manual.bbl

\begin{thebibliography}{} \bibitem[Boser et~al., 1992]{Boser1992} Boser, B., Guyon, I., and Vapnik, V.~N. (1992). \newblock A training algorithm for optimal margin classifiers. \newblock In {\em
www.eeworm.com/read/397102/8068498

m prex2.m

%PREX2 PRTOOLS example, plot learning curves of classifiers help prex2 pause(1) echo on % set desired learning sizes learnsize = [3 5 10 15 20 30]; % Generate Highleyman's classes A = gend