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/328164/6288996
mptags pid_test.mptags
!_TAG_FILE_FORMAT 2 /extended format; --format=1 will not append ;" to lines/
!_TAG_FILE_SORTED 1 /0=unsorted, 1=sorted, 2=foldcase/
!_TAG_PROGRAM_AUTHOR Darren Hiebert /dhiebert@users.sourceforge.n
www.eeworm.com/read/494772/6374954
m som_settings.m
function settings = som_settings(type)
% default setting structure for Kohonen maps and counterpropagation artificial neural networks (CPANNs)
% som_settings build a default structure with all the
www.eeworm.com/read/128468/14295398
m contents.m
% Minimax learning algorithm.
%
% mmdemo - Demonstration of the minimax learning algorithm.
% mmln - Minimax learning algorithm for estimation of
% normal distribut
www.eeworm.com/read/160391/5571134
m mixexp2.m
% Fit a piece-wise linear regression model.
% Here is the model
%
% X \
% | |
% Q |
% | /
% Y
%
% where all arcs point down.
% We condition everything on X, so X is a root node. Q is a
www.eeworm.com/read/367442/9747858
m contents.m
% Minimax learning algorithm.
%
% mmdemo - Demonstration of the minimax learning algorithm.
% mmln - Minimax learning algorithm for estimation of
% normal distribut
www.eeworm.com/read/147693/12538602
pl fig19_5.pl
% Figure 19.5 Problem definition for learning list membership.
% Problem definition for learning about member(X,L)
backliteral( member(X,L), [L:list], [X:item] ). % Background literal
% R
www.eeworm.com/read/147693/12538619
pl fig19_10.pl
% Figure 19.10 Learning insertion sort.
% Learning sort
backliteral( sort( L, S), [L:list], [S:list]).
backliteral( insert_sorted( X, L1, L2), [X:item, L1:list], [L2:list]).
term( list, [
www.eeworm.com/read/370819/9582999
pdf joachims_99a_making large-scale svm learning practical.pdf
www.eeworm.com/read/355450/10265525
chm learning red hat enterprise linux and fedora, 4th edition.chm
www.eeworm.com/read/467129/7018210