代码搜索：fprintf
找到约 10,000 项符合「fprintf」的源代码
代码结果 10,000
www.eeworm.com/read/135779/13900353
m example43_run_b4.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/135779/13900389
m example43_run_a.m
%svm3
%%===============
%%===============
% run_a
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1
www.eeworm.com/read/135779/13900542
m example43_run_b1.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/135754/13902096
m example43_run_b2.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/135754/13902436
m example43_run_b3.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/135754/13902513
m example43_run_b4.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/135754/13902541
m example43_run_a.m
%svm3
%%===============
%%===============
% run_a
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1
www.eeworm.com/read/135754/13902605
m example43_run_b1.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/132667/14079563
c run_kannel_box.c
/* ====================================================================
* The Kannel Software License, Version 1.0
*
* Copyright (c) 2001-2004 Kannel Group
* Copyright (c) 1998-2001 WapIT Ltd
www.eeworm.com/read/202249/15387571
m bookdemo.m
% PURPOSE : We address here a nonlinear non-Gaussian problem using
% the standard particle filtering algorithm.
% For more details refer to the introduction of our book:
% Sequential Monte Carlo in P