代码搜索：Classifying
找到约 108 项符合「Classifying」的源代码
代码结果 108
www.eeworm.com/read/131815/14123352
m demos.m
function tbxStruct=Demos
% DEMOS Demo List information for OSV SVM Classifier Matlab Toolbox
if nargout==0, demo toolbox; return; end
tbxStruct.Name='OSU SVM Classifier';
tbxStruct.Type='
www.eeworm.com/read/207746/15263116
m demos.m
function tbxStruct=Demos
% DEMOS Demo List information for OSV SVM Classifier Matlab Toolbox
if nargout==0, demo toolbox; return; end
tbxStruct.Name='OSU SVM Classifier';
tbxStruct.Type='
www.eeworm.com/read/367441/9748301
m demos.m
function tbxStruct=Demos
% DEMOS Demo List information for OSV SVM Classifier Matlab Toolbox
if nargout==0, demo toolbox; return; end
tbxStruct.Name='OSU SVM Classifier';
tbxStruct.Type='
www.eeworm.com/read/439490/7707983
c _c2type.c
/* File : _c2type.c
Author : Richard A. O'Keefe.
Updated: 23 April 1984
Purpose: Map character codes to types
The mapping used here is such that we can use it for converting
www.eeworm.com/read/164629/10099559
m demo3.m
P = [1 2; 2 2; 1 1]';
p1 = [2; 1.5];
Tc = [1 2 3];
T = ind2vec(Tc);
spread = 1;
net = newpnn(P,T,spread);
a = sim(net,p1);
ac = vec2ind(a);
hold on
plot(p1(1),p1(2),'.','markersize',30,'col
www.eeworm.com/read/299230/7871716
m demo3.m
P = [1 2; 2 2; 1 1]';
p1 = [2; 1.5];
Tc = [1 2 3];
T = ind2vec(Tc);
spread = 1;
net = newpnn(P,T,spread);
a = sim(net,p1);
ac = vec2ind(a);
hold on
plot(p1(1),p1(2),'.','markersize',30,'col
www.eeworm.com/read/469026/6983855
asv svmtst.asv
function err = SVMtst(alpha_s, y_s, x_s, b0, K, K_p, X, y)
% Kernel, K = 1 : Polynomial, K = 2 : RBF, K_p : Kernel Parameter
% alpha_s : Support vector
% y_s & x_s : train data according to S.
www.eeworm.com/read/312645/3651101
h sc.h
/***********************************************************************
sc.h - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyrigh
www.eeworm.com/read/312645/3651113
c sc.c
/***********************************************************************
sc.c - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyrigh
www.eeworm.com/read/327553/13073109
txt paper.txt
/* A paper Classifying Expert System */
database
xpositive(symbol,symbol)
xnegative(symbol,symbol)
predicates
run
paper_is(symbol)
it_is